University of Sistan and Baluchestan

Shilajit, a natural substance with ancient medicinal roots, is increasingly used in modern supplements for its purported health benefits. However, there is a lack of comprehensive chemical characterization, particularly regarding inorganic anions. This study addresses this gap by quantifying common inorganic anions in 14 raw Shilajit samples sourced from Iran, India, Nepal, Kyrgyzstan, and Russia, as well as in 6 commercially available supplements from Poland, Russia, and Kyrgyzstan. Using ion chromatography, key anions including chloride, sulphate, nitrate, hydrogen phosphate, and fluoride were analyzed. Results revealed that chloride was the most prevalent anion, with concentrations ranging from 0.102 to 9.496 mg.g− 1 in raw Shilajit samples and up to 0.931 mg.g− 1 in supplements. Sulphate levels were significant, with concentrations up to 12.412 mg.g− 1 in raw Shilajit and 0.854 mg.g− 1 in supplements. Nitrate was detected in lower concentrations, peaking at 9.504 mg.g− 1 in raw Shilajit. Fluoride was quantifiable in only one sample at 0.064 mg.g− 1. The study concludes that Shilajit’s geographical origin significantly influences its anion composition, leading to variability in its potential health effects. These findings highlight the necessity for standardized formulations and stringent quality control measures in Shilajit supplement production to ensure consumer safety and product efficacy.

Urban development results in increased ceramic waste (CW), posing environmental challenges due to its fragility and non-biodegradability. Addressing these issues, particularly the environmental impact of cement production and aggregate extraction, is crucial. This study investigated the environmental benefits of utilizing ceramic waste powder (CWP) and ceramic waste aggregate (CWA) in steel fiber-reinforced self-compacting concrete (SFRSCC). It analyzes the impact of varying proportions of CWP (0%, 5%, 15%, and 25%) and CWA (0%, 20%, 40%, and 60%) on workability, compressive, tensile, and flexural strength, aiming to enhance the mechanical properties and durability of CW-SFRSCC. Tests on fresh concrete revealed that a mix with 25% CWP and 60% CWA decreases workability, flowability, passability, fillability, and segregation. However, the flexural, tensile, and compressive strengths of the 90-day concrete containing 15% CWP and 40% CWA increased by 27.89%, 27.55%, and 24.84%, respectively, compared to the control mix. When a high volume of CWs was incorporated (25% CWP and 60% CWA), the concrete microstructure exhibited a porous nature and contained a substantial amount of non-hydrated particles. At a constant volume of 15% CWP, concrete with 40% CWA exhibited optimal performance in wave velocity, electrical resistance, and capillary water absorption at all ages. At 90 days, using 15% CWP and 20% CWA led to reductions of 38.10% in water penetration depth and 41.79% in surface water absorption, compared to concrete without ceramic waste. Additionally, substituting ceramic waste for cement and natural coarse aggregates reduced the weight of the concrete by approximately 7%. Furthermore, increasing the use of CWs reduced production costs by between 1.63 and 6.63% compared to the control mix. When the maximum volume of CW was utilized, CO2 emissions are reduced by approximately 22.56%, indicating the positive environmental impacts of producing concrete containing CWP and CWA. Scanning electron microscopy images revealed that the microstructure of the SFRSCC containing 15% CWP and 40% CWA displayed a denser, more coherent, and more uniform texture. Using CWA and CWP in SFRSCC provides a scientific and practical solution to the environmental challenges posed by cement production and natural materials, while also reducing costs and minimizing land use for disposing of ceramic waste.

In the present work, the four Fe-based structures were prepared from the phyto-synthetic approaches and their subsequent calcinations. The aqueous extracts of Salsola sp. and Heliotropiumbacciferum plants were used as the bio-reductant and stabilizer in these approaches. The green synthesized structures were characterized using FT-IR, XRD, FESEM, EDX, and VSM techniques. The characterization results showed that calcination created a cubic γ-Fe2O3 phase with spherical morphology. The preparation of Pd-Fe composites was completed by reducing palladium ions on iron-containing samples using Salsola sp. aqueous extract. The effect of calcination and the type of extract used in the synthesis of Pd-Fe composites on their electrocatalytic activity towards the electrooxidation of ethylene glycol by voltammetry technique. The catalyst prepared with Salsola sp. (2.35 mA.cm⁻²) extract had better catalytic activity than the one Heliotropium bacciferum (1.67 mA.cm⁻²) for 0.28 M ethylene glycol oxidation. The catalytic activity of iron in the not-calcined form was higher than in the calcined due to the transformation in the electronic structure, confirmed by the change in the magnetic behavior of the sample. This work highlights the importance of green synthesis methodologies in electrochemistry applications. In summary, the main advantages of this work are the principles of green chemistry followed by an eco-friendly approach, sustainable resource utilization, cost-effectiveness, and enhanced catalytic properties. Graphical Abstract

This research introduces a simple method for sequential modification of ferrite nanoparticles. A novel, reusable, and green nanomagnetic heterogeneous catalyst was synthesized by immobilizing copper onto Fe3O4@THAM@PCH. Finally, it was used as a powerful and new catalyst in the synthesis of derivatives 2‐amino‐3‐cyanopyridine and pyrano[2,3‐d] pyrimidine. In the fabrication of Fe3O4@THAM@PCH‐CuⅡ magnetic nanoparticles, the incorporation of tris (hydroxymethyl)aminomethane (THAM) demonstrated its efficacy as a cost‐effective and easily accessible coating for Fe3O4 in comparison to materials previously documented in the literature. The catalyst underwent comprehensive characterization through energy‐dispersive X‐ray spectroscopy (EDX), Fourier‐transform infrared (FT‐IR), vibrating sample magnetometer (VSM), X‐ray diffraction (XRD), transmission electron microscopy (TEM), inductively coupled plasma (ICP), field emission scanning electron microscopy (FE‐SEM), thermogravimetric (TGA), and map analysis. The present method, known as the green method, has advantages such as a simple operational approach, high product efficiency, mild reaction conditions, minimal chemical side products, and short reaction time. The synthesized nanocatalyst can be recycled up to 5 steps without a noticeable decrease in its activity.

Reducing pressure drop and energy requirements in the natural gas transmission is crucial for enhancing the performance of pipelines and reducing the greenhouse emission effect. In this study, a steady-state CFD modeling was conducted to examine the pressure drop, energy-specific toll (EST), and entropy generation rate (ER) of natural gas pipelines in the dense phase (DP), pseudo-dense phase (PDP), and vapor phase (VP). Three natural gas cases with varying compositions were utilized. The findings revealed that at all three cases, the pressure drop, EST, and ER in the DP were lower compared to those in the PDP and VP phases. For instance, in case 1, the EST in DP was 15 % and 67 % lower than in the PDP and VP, respectively. Similarly, the pressure drop in DP for case 1 was 7.5 % and 42.8 % lower than in the PDP and VP, respectively. Additionally, the ER in DP for case 1 was 12 % and 60 % lower than in the PDP and VP, respectively. The effect of mass flow rate on the pipeline performance indicated that as the mass flow rate increased from 30 to 50 kg/s, the pressure drop, EST, and ER for all cases and phases increased almost 2.7 times. Additionally, when the pipeline diameter increased from 0.3 to 0.6 m, the pressure drop, EST, and ER decreased almost 38, 38, and 16 times, respectively. The results of surface roughness revealed that for all cases and phases, the pressure drop, EST, and ER increased by almost 2.39, 2.39, and 2.2 times, respectively, as the surface roughness increased from 5 μm to 260 μm. Finally, this study developed mathematical models to investigate the pressure drop for pipelines in DP and PDP. The diameter of the pipeline had a greater effect on presser drop compared to the inlet mass flow rate and surface roughness.

In this study, we present a simple and sensitive carbon paste electrode embedded with Hyamine 1622-iodide/iodine for the simultaneous detection of ascorbic acid (AA), dopamine (DA), acetaminophen (AC), ibuprofen (IBP), and tyrosine (Tyr). Various electrochemical techniques, including cyclic and sweep voltammetry, chronoamperometry, and electrochemical impedance spectroscopy, were employed to investigate the electrode’s performance. The optimized electrode demonstrated excellent sensitivity, with detection limits of 0.74, 0.46, 0.45, 0.52, and 0.44 µM for AA, DA, AC, IBP, and Tyr, respectively. Additionally, it exhibited a broad linear range: 2.4–960.0 µM, 1.5–800.0 µM, 1.5–800.0 µM, 1.7–960.0 µM, and 1.5–860.0 µM for the respective analytes. Further electrochemical analysis provided key parameters, including diffusion coefficients, apparent electrode surface area, heterogeneous rate constants, electrode surface coverage, electron transfer coefficients, and catalytic rate constants for the oxidation processes of the target analytes. The proposed electrode successfully detected AA, DA, AC, IBP, and Tyr in human biological samples, demonstrating good precision with relative standard deviations (RSD) of 2.1%–3.9% and recovery rates between 97 and 103%. The accuracy of the method was validated against a standard technique, confirming its reliability and robustness. Graphical Abstract

The quest for sustainable solutions in biomedicine has driven the creation of cutting-edge platforms that use eco-friendly nanocomposites for delivering genetic vaccines. This book chapter explores the potential of sustainable nanocomposites as advanced platforms for genetic vaccines, emphasizing their eco-friendly nature and promising applications in modern medicine. Researchers are paving the way for efficient and sustainable vaccination strategies by utilizing nanocomposites, which offer benefits like improved stability, precise release mechanisms, and focused delivery. This chapter delves into the design, synthesis, and characterization of sustainable nanocomposites, highlighting their biocompatibility and biodegradability. Additionally, we explain how integrating genetic material into these nanocomposites enables precise modulation of immune responses, opening new avenues for personalized medicine and disease prevention. This chapter seeks to motivate biomedical researchers and practitioners by thoroughly examining the latest progress and upcoming opportunities, encouraging the use of sustainable nanocomposites in the creation of next-generation genetic vaccines, thereby promoting a greener and healthier future.

The study of epsilon-near-zero (ENZ) materials has recently become an important research area for investigating light-matter interactions in absorbers. Traditional ENZ absorber designs typically exhibit unidirectional absorption, which limits their potential application. This study proposes a bidirectional perfect absorber utilizing indium tin oxide as the ENZ material at a wavelength of 1550 nm. The proposed structure features mirror symmetry in the + z and −z directions, achieving a bidirectional absorption rate of over 90% in the 1575-2360 nm range. It demonstrates stable wide-angle absorption properties for transverse electric and magnetic waves at oblique incident angles up to 39° and 30°, respectively. In addition to absorption-based sensing, the proposed absorber, with its tunable response to external fields, enables applications in optical switching and intensity modulation. It can also be utilized as a spectral filter for wavelength-selective control in optical systems because of its low angular dependence and broad bandwidth.

This study presents the design and optimization of multi-functional all-optical NOT and XOR logic gates based on interference effects within two-dimensional photonic crystal structures. Our approach aims to address the growing demand for high-performance components in next-generation photonic integrated circuits (PICs). We enhanced the structure’s applicability and performance by carefully optimizing the output waveguide configuration. Our design achieved impressive performance metrics, including a response time of approximately 0.15 ps, a contrast ratio of 32.88 dB, and a bit rate of roughly 6.67 Tbit/s. Notably, the compact size of 83.55 μm² makes our design particularly suitable for PICs. To demonstrate the versatility of our approach, we developed an optimized 4 × 2 encoder based on the same design principles. This more complex structure with a compact size of 133.67 μm² exhibited a contrast ratio of approximately 26.54 dB, further validating the flexibility and practicality of our designs for integration into optical circuits. Our methodology employed the plane wave expansion method for determining and analyzing the photonic bandgap range. In contrast, the finite-difference time-domain method was utilized to simulate and evaluate the proposed structures’ performance. These results collectively demonstrate the significant potential of our designs for future PIC applications, offering a promising pathway toward high-performance, integrated optical computing systems.

The relationship between discharge and water level in the river section is one of the most important input information for hydraulic models. The relationship proposed by Maghrebi et al. is one of the most accurate relationships to estimate the stage-discharge curve. This relationship is based on comparing the discharge of two different levels. In other words, it estimates the discharge in any level of water using the discharge taken from one level. In the ideal case, the difference between evaluated and reference discharges is zero. Since the perfect state can never be achieved, achieving the state of the relationship is desirable where the difference is the lowest possible amount. Thus, this paper proposes a new relationship between the evaluated and the reference discharges. It also deals with the stated difference by proposing a new error calculation and an auxiliary relation considering some allowable error. These relations are used as the Goal function and the auxiliary constraint in the optimization process. Then, using these two relationships, the values of the stage-discharge exponents are repeatedly evaluated, and the optimal values are presented. This evaluation is done using a genetic algorithm. In the end, using different problems, the new stage-discharge relation is tested, and the comparison results are presented. It is observed that the responses are improved compared to Maghrebi’s relationship, so there is a 7% reduction in error at some points (P08 of FCF-Series01). Also, the proposed relationship was compared with the SKM and the discharge evaluation error was calculated with the NRMSE and NSE relationships. The results showed that the proposed relation reduces the discharge evaluation error compared to the SKM. This improvement makes the proposed method a robust alternative for stage-discharge modeling in hydraulic applications.

Drought is one type of natural disaster that impacts huge areas over an extended period. Multi-variable indices have been established to evaluate numerous factors at once and obtain more information regarding drought. In this study, a combined Joint Multivariable Index (CJMI) was defined for Iran based on three indices: SPI, PDSI, and SRI, covering the period from 1990 to 2021, aiming to consider all aspects of drought. By examining various marginal distribution functions (such as Log-normal, Logistic, Exponential, Weibull, and Gamma), the most suitable distribution function was determined based on two criteria: AIC and BIC. The best-fit distribution function for most stations was found to be log-normal and exponential, while the gamma distribution function was optimal only for the Mashhad station with AIC = 503.24 and BIC = 513 Subsequently, return periods (AND) and joint risk of the trivariate were evaluated. Return periods and joint risk analysis of the three variables were compared based on three copula functions: Frank, Gumbel, and Clayton, for periods of 50 and 100 years. The obtained values for risk analysis were categorized into three levels, with the highest risk values observed in the northwestern region and stations such as Ardabil, Urmia, Tabriz, and Tehran exceeding 0.70. The overall results of this research indicate that the CJMI index obtained contains more uncertainties than individual indices and better analyzes the primary data approach.

Background In Iran, Afghan women should be able to use the same maternal services provided to natives. Improvement of the utilization of maternal healthcare services (MHCS) requires knowledge of the specific needs of refugees. In this regard, the present study aimed to explore current use and barriers to healthcare service utilization among Afghan women refugees. Materials and Methods This sequential explanatory study with a mixed-method design combined two sources of data, namely quantitative data based on data routinely collected from March 2022 to March 2023 in Zahedan city and qualitative data collected from interviews with Afghan women (n = 10) and local managers (n = 6). Purposeful sampling was used to select Afghan women refugees from birth centers. Inductive thematic analysis was used for qualitative data. Results Only 7% of Afghan women attended antenatal care five times or more at 37–39 weeks of pregnancy. Moreover, 20.45% of Afghan women used traditional birth attendants in their recent birth (F 1 = 3764.01, p < 0.001). Qualitative data showed that financial barriers (especially lack of insurance and low family income) were the most important barriers to poor access to antenatal and hospital services. In addition, obtaining poor or insufficient care was another barrier to the use of care. Conclusions The findings highlighted that Afghan women face different barriers to utilizing MHCS. These barriers should be addressed through collaboration between regional, national, and international agencies to provide community-based interventions, address the health needs and expectations of the local community, and improve the utilization of MHCS.

Basically, the robust control approaches do not tackle the uncertainties directly, and hence, introducing a new robust control is crucially necessary to attenuate the lumped uncertainties in the industrial systems. This paper presents a new robust control method for the three-phase voltage source rectifier (VSR) based on error dynamics. The design of control commands is performed by considering the first-order error dynamics so that the tracking control of the inductor current at any phase is manipulated. By substituting the state equations in the error dynamics, the destructive effects of lumped uncertainties can be attenuated in the output responses of the VSR. This action is achieved by choosing the optimum values defined in the error dynamics. By defining several terms in the control commands, the first-order error dynamics are converted to second-order error dynamics. Finally, the stability of the closed-loop system is guaranteed by the tunning parameters defined in the control commands. In this work, the grid current harmonics are also decreased using the proposed robust control method. Some numerical simulations are performed using MATLAB software to evaluate the proposed approach.

Statement of the Problem: Oral squamous cell carcinoma (OSCC) is the eighth leading cause of cancer-related death worldwide. JAK2 and STAT3 primarily influence intrinsic tumor cell behavior, and CTLA4 impacts the interplay between the tumor and the host immune system in the context of cancers. There is scarce information regarding the involvement and roles of JAK2, STAT3, and CTLA4 genes in OSCC; however, the molecular mechanisms are still unclear. Purpose: This study examined the relationship between JAK2, STAT3, and CTLA4 gene expression levels and OSCC in a group of patients in the southeast of Iran. Materials and Method: This cross-sectional study was conducted in which the relative gene expression levels of JAK2, STAT3, and CTLA4 were compared between 23 oral paraffin tissue blocks collected from OSCC patients and 20 fresh gingival tissues collected from healthy individuals. The Real-Time quantitative PCR (RT-qPCR) assay was employed to assess relative gene expression levels. SPSS 27 was employed to perform statistical analyses. Results: Significant differences were found between OSCC patients and healthy individuals concerning gene expression levels of JAK2 (2.4-fold, p< 0.0001), STAT3 (2.32-fold, p< 0.0001), and CTLA4 (4.09-fold, p< 0.0001). Additionally, there were significant positive correlations among JAK2-STAT3 (0.667, p< 0.001), JAK2-CTLA4 (0.771, p< 0.001), and STAT3-CTLA4 (0.635, p= 0.001) co-expressions. Moreover, gender, age groups, and tumor locations did not significantly correlate with the expression levels of these genes (p> 0.05). Nevertheless, significant differences occurred between histopathological grades and the gene expression levels of JAK2 (p< 0.001), STAT3 (p= 0.001), and CTLA4 (p< 0.001). Conclusion: The overexpression of JAK2, STAT3, and CTLA4 can be considered triggers for OSCC development. It may be beneficial to conduct future research on OSCC by considering downstream genes involved in the JAK2/STAT3/CTLA4 axis.

Pomegranate (Punica granatum L.) is a highly diverse species with significant variation in morphological and pomological traits. Characterizing this diversity is essential for improving breeding strategies, particularly to enhance fruit quality, yield, and consumer acceptance. This study used statistical tools, including correlation matrix analysis (CMA), principal component analysis (PCA), multiple regression analysis (MRA), and heat map analysis (HMA) to explore trait clustering and genotype differentiation. PCA revealed that the first three components accounted for 31.54% of the total variation. PC1 (11.66%) was driven by traits such as fruit length (0.94), fruit diameter (0.93), fruit weight (0.93), and fruit peel weight (0.93). Heat map analysis grouped variables into four clusters, with traits like total soluble solids (7–22%, mean: 14.72% ± 2.99) and 100-aril fresh weight (19.34–49.46 g, mean: 32.51 g ± 7.93) being critical for marketability. Genotypes were divided into four groups, with subgroup D2 comprising ‘Karimabad-6’, ‘Karimabad-5’, ‘Karimabad-3’, ‘Karimabad-2’, ‘Karimabad-4’, ‘Sangan-2’, ‘Padik-4’, ‘Karimabad-8’, ‘Karimabad-7’, ‘Sangan-1’, ‘Padik-11’, ‘Padik-3’, ‘Padik-2’, ‘Sangan-4’, ‘Sangan-3’, ‘Padik-12’, ‘Karimabad-1’, ‘Sangan-9’, ‘Sangan-8’, ‘Padik-1’, and ‘Daman-9’. MRA identified significant correlations for key traits: fruit weight showed a positive correlation with fruit diameter (β = 0.66, p < 0.00) and fruit length (β = 0.32, p < 0.01), while fruit peel weight showed positive correlations with fruit weight (β = 0.92, p < 0.00) and fruit peel thickness (β = 0.12, p < 0.00). Total soluble solids showed a positive correlation with 100-aril fresh weight (β = 0.80, p < 0.00). These correlations, which were determined to be statistically significant by MRA, are supported by CMA. In the PCA biplot analysis, ‘Daman-2’, ‘Daman-5’, ‘Daman-7’, ‘Karimabad-4’, ‘Padik-9’, ‘Sangan-2’, and ‘Sangan-4’ genotypes were identified as outliers with extreme combinations of fruit traits, falling outside the 95% confidence ellipse, suggesting their potential for breeding programs targeting unique features. This study emphasizes the importance of fruit-related traits, including size, weight, and soluble solids, in genotype differentiation and marketability. Heat map and PCA analyses provided a comprehensive framework for clustering variables and genotypes, identifying actionable targets for breeding. Notably, ‘Sangan-1’, ‘Sangan-2’, ‘Karimabad-1’, ‘Karimabad-2’, ‘Karimabad-3’, and ‘Karimabad-4’ were identified as very soft-seeded genotypes, highlighting their potential for consumer-preferred traits. These findings contribute to improving pomegranate breeding strategies by integrating genetic diversity with agronomic and market demands.

A functional Hilbert space is the Hilbert space of complex-valued functions on some set $\Theta \subseteq \mathcal {C}$ that the evaluation functionals $\varphi _{\lambda}\left ( f\right ) =f\left ( \lambda \right )$, $\lambda \in \Theta$ are continuous on $\mathcal {H}$. Then, by the Riesz representation theorem, there is a unique element $k_{\lambda}\in \mathcal {H}$ such that $f\left ( \lambda \right ) =\left \langle f,k_{\lambda}\right \rangle$ for all $f\in \mathcal {H}$ and every $\lambda \in \Theta$. The function k on $\Theta \times \Theta$ defined by $k\left ( z,\lambda \right ) =k_{\lambda}\left ( z\right )$ is called the reproducing kernel of $\mathcal {H}$. In this study, we defined the weighted Davis-Wielandt Berezin number, and then we obtained some related inequalities. It is shown, among other inequalities, that if $X\in{\mathcal {L}}({\mathcal {H}})$ and $\nu \in [0,1]$, then $\begin{aligned} \frac{1}{2}\Big(\textbf{ber}^{2} (X_{\nu}+\vert X_{\nu}\vert ^{2})&+c_{ \textbf{ber}}^{2}(X_{\nu}-\vert X_{\nu}\vert ^{2})\Big) \\ &\leq dw_{\textbf{ber}_{\nu}}^{2}(X) \\ &\leq \frac{1}{2}\left (\textbf{ber}^{2} (X_{\nu}+\vert X_{\nu}\vert ^{2})+ \textbf{ber}^{2}(X_{\nu}-\vert X_{\nu}\vert ^{2})\right ), \end{aligned}$ where $X_{\nu}= (1-2\nu )X^{*}+X$. Some bounds for the weighted Davis-Wielandt Berezin number are also established.

Lung cancer (LC) is a highly prevalent and deadly type of cancer characterized by intricate molecular pathways that drive tumor development, metastasis, and resistance to conventional treatments. Recently, ferroptosis, a controlled mechanism of cell death instigated by iron-dependent lipid peroxidation, has gained attention for its role in LC progression and treatment. Noncoding RNAs (ncRNAs), such as microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), are emerging as key modulators of ferroptosis, significantly influencing LC biology. This review explores how ncRNAs control ferroptotic pathways and affect tumor growth, metastasis, and therapy resistance in LC. By understanding the dual functions of ncRNAs in both activating and inhibiting ferroptosis, we aim to uncover new therapeutic targets and strategies for LC. These insights provide a promising direction for the development of ncRNA-based treatments designed to induce ferroptosis, potentially improving therapeutic outcomes for patients with LC.

This article investigates two different types of geminates, namely, single vowel-adjacent geminates and intervocalic geminates in Iranian Sistani dialect (henceforth ISD). The analyses of these geminate processes are based on the Optimality theory (OT). The data have been gathered through fieldwork in Sekooheh (locally known as sækvæ) village in Sistan, which is located in the northern Sistan and Baluchestan province, Iran. The moraic representation of the syllable structure in this dialect supports the idea that geminate in ISD is underlying moraic. Similarly, the research findings show that both single vowel-adjacent geminates and intervocalic geminates are common in ISD, whereas no initial geminates have been observed in the research data. Furthermore, almost all consonants can occur as geminate consonants in word-final position, while no glide and glottal consonants appear as geminate consonants in this position. Also, geminate analysis in ISD shows that there is no super-heavy syllable in this dialect since geminate only occurs after short vowels.

Ever-increasing advances in technology and deficiencies in technical expertise have raised questions about the interplay between internet addiction and health variables. This study aimed to investigate the mediating role of digital literacy in the relationships among internet addiction, cognitive ability, and the general health subscale scores of secondary school students. Two hundred and eight high school students from Fanuj, Iran, were selected via cluster sampling. To collect the data, Kimberly Young’s (1998) internet addiction questionnaire, Nejati’s (Advances in Cognitive Science, 15 (2), 11–19, 2013) cognitive ability questionnaire, Goldberg and Hillier’s (Psychological Medicine, 9, 139–145, 1979) general health questionnaire, and Rodríguez-de-Dios et al.’s (2016) digital literacy questionnaire were used. To analyze the data, partial least squares path modeling was used. The results of the Pearson correlation coefficient tests revealed that internet addiction had a significant negative correlation with cognitive ability and a significant positive correlation with general health subscales. Using Smart PLS software, digital literacy as a moderator variable, negated the impacts and had a significant positive influence on cognitive ability in the model. However, a significant negative effect on the social dysfunction subscale of general health was found. The use of digital literacy workshops and interventions may mediate students’ cognitive ability and general health subscale scores.