bluuebunny/crossref_metadata_2025 huggingface dataset:
A sensitive electrochemical DNA biosensor for determination of Capecitabine anticancer drug based on ss-DNA/RGO/MoS2/CPE electrode
Authors: Mohammadi Masoumeh , Rafati Amirabbas
Published: March 2024

The present research utilized a simplified procedure for developing a novel electrochemical sensor based on a carbon paste electrode (CPE) modified with single-stranded DNA (ss-DNA), reduced graphene oxide and molybdenum disulfide. Unmodified (bare CPE) and modified (ss-DNA/RGO/MoS2/CPE) electrodes were characterized by scanning electron microscopy (SEM), EDX analysis and cyclic voltammetry (CV). Characterization data confirm the good conductivity and electrocatalytic nature with more electrochemically active sites in ss-DNA/RGO/MoS2/CPE compared to bare CPE in determination of capecitabine (CAP) analysis in real samples. Two linear ranges have been obtained for the CAP concentration within the ranges of 0.01-10 µM with and 10–60 µM, with a detection limit of 0.0108 µM and limit of quantification of 0.036 µM. Lower linear concentration range, 0.01-10 µM showed sensitivity of 276.85 AM− 1cm− 2, and another from 10 µM to 60 µM with a sensitivity of 5.88 AM− 1cm− 2. The performance of the modified electrode was tested in human serum samples and obtained satisfactory recovery results. The selectivity and practical ability of ss-DNA/RGO/MoS2/CPE to determine CAP in the presence of different interfering species were investigated. The results show the selective, reliable and accurate response of ss-DNA/RGO/MoS2/CPE as CAP electrochemical sensor.
A Deep Learning Framework for Face Sketch Synthesis Using Generative Adversarial Network
Authors: LATHA BUDDANNAGARI , VELMURUGAN A. K.
Published: March 2024

Face sketch synthesis phenomenon, a kind of image-image translation, generates synthesized face/sketch with wide range of applications pertaining law enforcement and entertainment to mention few. Despite the compelling results produced by many existing methods of late, there are still challenges due to deformation and blurred effects on facial components resulting in unrealistic face/sketch. To overcome this problem, in this paper, we proposed a novel framework known as Deep Face-Sketch Synthesis Framework (DFSSF). The framework is realized with different building blocks including an algorithm known as Deep Face-Sketch Synthesis for High Perceptual Quality (DFSS-HPQ). The framework is based on the architecture of Generative Adversarial Network (GAN) which exploits facial structures and a novel labelling mechanism. It takes paired inputs compromising of face images and sketches. The framework also considers extraction of GANs with heterogeneity from inputs. Afterwards, they are stacked to obtain additional features that can be effectively used to rectify defects if any. Two algorithms known as Hybrid GAN for Face Sketch Synthesis (HGAN-FSS) and Stacked Hybrid GAN for Face Sketch Synthesis (SHGAN-FSS) are proposed. We used two frequently used datasets namely CUFS and CUFSF having samples collected from 606 and 1194 persons respectively. The proposed framework is built using Python data science platform. Empirical results of the framework are evaluated and compared with traditional face sketch methods, deep learning models and deep learning models based on GANs. The proposed framework showed better performance over the state of the art in presence of different styles, lighting conditions and head poses.
Evaluating the Efficiency of 16S-ITS-23S operon Sequencing: A Comparison of Primer Pairs, Sequencing Platforms, and Taxonomic Classifiers
Authors: Srini Meghana , Walsh Calum J. , Crispie Fiona , O'Sullivan Orla , Cotter Paul D. , Sinderen Douwe , Kenny John G.
Published: March 2024

Background
The field of 16S rRNA-targeted metagenetics has been enhanced through the improved accuracy of long-read sequencing. More specifically, recent advances have facilitated the transition from short-read sequencing of 16S rRNA gene regions to full-length sequencing of the entire 16S gene (~1500 bp) and, in turn, sequencing of the 16S, Internal Transcribed Spacer (ITS), and 23S regions covering a DNA region known as the ribosomal RNA operon (RRN) (~4500 bp). These technological advances offer the potential to achieve at least species-level resolution when analysing microbiomes, increasing interest in RRN sequencing. However, before widespread adoption of this approach can occur successfully, a thorough assessment of its strengths and limitations is necessary.
Results
This study assesses the effects of RRN primer pairs and sequencing platforms on RRN sequencing, while also aiming to benchmark taxonomic classification methods. In this context, we study the effect four RRN primer combinations; four mock communities, three sequencing platforms (PacBio, Oxford Nanopore Technologies, and Illumina), two classification approaches (Minimap2 alignment and OTU clustering), and four RRN reference databases (MIrROR, rrnDB, and two iterations of FANGORN) alongside two 16S databases (Greengenes2 and SILVA). Our study reveals that choice of primer pair and sequencing platform do not substantially bias the taxonomic profiles provided by RRN sequencing for a majority of the mock communities. However, community composition was identified as a confounding factor. The classification method significantly impacts the accuracy of species-level taxonomic assignment. Applying Minimap2 in combination with the FANGORN database was found to provide the most accurate profile for most microbial communities, irrespective of sequencing platform.
Conclusions
Long-read sequencing of the RRN operon provides species-level resolution surpassing that of Illumina-based 16S rRNA gene sequencing. Our findings advocate for the use of RRN sequencing in species-level microbial profiling. We extensively benchmark the factors involved to provide a valuable resource, aiding the advancement and adoption of RRN sequencing, while highlighting some ongoing challenges.
PiTeQA-Net: Picto-Textual Question Answering Network for Multimodal Document Image Analysis
Authors: Jiaming Li
Published: March 2024

By integrating visual and natural language understanding, Visual Question Answering (VQA) holds promise for enhancing the intelligence of computer systems, thereby improving user work efficiency. However, current research in the VQA field faces two major challenges: low precision in feature pre-extraction and low efficiency in feature fusion. This study proposes a pre-trained framework based on RSFE-TBT for question-answering tasks aimed at improving feature pre-extraction accuracy and feature fusion efficiency across different modalities. Addressing the issue of low pre-extraction accuracy in existing methods, ResNet50-SF is proposed for pre-extracting image features. Considering ResNet50's limitations in recognizing small objects and specific spatial positions, a bidirectional feature pyramid network(BiFPN) with spatial attention is introduced. Text block features bridging image and text are introduced to address challenges in aligning multi-modal features and fusion efficiency. These encompass block position, shape, sequence, and relative arrangements. Image features are segmented into semantic and spatial aspects, while text blocks are divided into positional and index attributes. Efficient multimodal fusion is achieved with multi-layer Transformer Encoders. Experimental results on the MultiDoc-InfoExtract Dataset demonstrate superior performance of this method in Semantic Entity Recognition (SER) and Relation Extraction (RE) tasks, achieving F1, Precision, and Recall scores of 0.975, 0.975, and 0.975, respectively, in SER tasks, and 0.969, 0.953, and 0.986, respectively, in RE tasks, with a single image inference time of only 0.082s. Ablation studies validate the significance of the improved image feature extraction model, the inclusion of text block features, feature refinement strategies, and the Transformer Encoder architecture in enhancing the performance of the question-answering system. Additionally, comparative studies have shown that RSFE-TBT outperforms competing models regarding accuracy, speed, and size.
Serial Crime Detection Through Selective Resemblance Measure Calculation (SRMC) and Threshold Value Accuracy Measure (TVAM): A novel approach
Authors: Goala Soumendra
Published: March 2024

Serial crime detection using automation is becoming one of the most important study due to its immense applicability and ability to reduce time consumption and energy during serial crime investigation. For this reason, it is always to have efficient methodologies for serial crime detection under different types of uncertain environment. In this paper, two new methodologies has been developed named as Serial crime detection through Selective Resemblance Measure Calculation (SRMC) and Serial crime detection through Threshold Value Accuracy Measure (TVAM) by modifying an existing methodology for Serial crime detection through Resemblance measure under Intuitionistic fuzzy environment. For each methodologies, case studies has been carried out for and justification has been done about the applicability and reliability of these methodologies. In addition, a comparative analysis on the basis of the efficiency of the newly developed methodologies has been given.
Experimental behaviour of ductile diagonal connections for rack supported warehouses
Authors: Natali Agnese , Morelli Francesco , Vulcu Cristian , Tsarpalis Dimitrios , Vamvatsikos Dimitrios , Salvatore Walter , Hoffmeister Benno , Vayas Ioannis
Published: March 2024

Steel racking systems are widely adopted for storage purposes: they are thin-walled structures composed of consecutive trusses, connected with beams on which the palletized goods are stored. Their geometry and structural configuration strongly depend on market and operator necessities, and, in modern applications, the racks can also function as the supporting structure of the warehouse itself in the form of Rack Supported or High-Bay Warehouses. With the increase of the overall geometric dimensions and the global weight of the stored material, the seismic action becomes more relevant for the design. Along these lines, we present the development and experimental testing of a dedicated seismic design approach for ductile steel racks, with particular attention to Rack Supported Warehouses. This approach exploits the ductility of trusses introduced via the plastic ovalization mechanism of the diagonal-to-upright connections while a tailored capacity design is used to assure the elastic behaviour of the rest of the structure and to keep the brittle failure mechanisms at bay.
Transcriptome analyses of salicylic acid- and jasmonic acid-treated cell suspension cultures of Andrographis paniculata
Authors: Ahmed Nihal , Nagella Praveen
Published: March 2024

Transcriptomic studies provide valuable insights into the molecular mechanisms underlying plant responses to various stimuli, including phytohormones such as salicylic acid (SA) and jasmonic acid (JA), which are produced in response to attack by biotrophic and necrotrophic pathogens, respectively. Interactions between SA and JA signaling pathways are complex and context dependent; sometimes they are antagonistic, and sometimes they are synergistic. In this study, RNA sequencing was employed to investigate the transcriptomic changes induced by SA treatment, JA treatment and SA + JA treatment in cell suspension cultures of Andrographis paniculata, a medicinal plant with pharmacological properties; untreated cultures served as controls. Differential gene expression analysis revealed significant alterations in the transcriptomes in each treatment group. Gene Ontology enrichment analysis highlighted the modulation of biological processes related to defense response, secondary metabolism, and signal transduction. Notably, unique sets of genes were found to be differentially expressed in response to SA, JA and SA + JA, suggesting the activation of distinct signaling cascades. Furthermore, in the combination treatment, SA + JA, SA was shown to suppress the effect of JA on the overall transcriptome. A correlation of 0.932 was detected between the transcriptomes of SA-treated cells and SA + JA-treated cells. Several key transcripts associated with the enzymes involved in andrographolide biosynthesis, were both significantly overexpressed and significantly underexpressed in all the treatment groups, suggesting the need for proteomics studies for definitive validation. The findings lay the groundwork for further elucidation of mechanisms underlying defense responses against both biotrophic and necrotrophic pathogens, and hold promise for their exploitation in improving the medicinal value of A. paniculata.
Understanding the role of soil microbes and enzymes in regulating nitrogen dynamics: Promoting sustainable crop rotation systems
Authors: Zhang Liqiang , Ji Wenxiu , Jiang Xinbo , Wang Yunlong , An Xiaoya , Rao Demin , Meng Fangang , Cui Jinhu , Zhang Wei , Zhao Hongyan
Published: March 2024

Aims
Soil nitrogen is recognized as a vital nutrient influencing soybean growth and yield. Hence, a comprehensive understanding of the intricate connections between shifts in nitrogen patterns and the behaviors of soil microbial communities and crucial enzymes in the nitrogen cycle is highly desirable.
Methods
This study involved a rotation positioning experiment spanning 9 to 11 years. Measurement of soil microenvironment changes during the mature period for three consecutive years, focusing on the corn-soybean rotation with varying fertilizer application rates. Six distinct treatment groups were established for investigation. Based on these groups, the study delved into the alterations in nitrogen patterns within the soybean rotation, examining both soil enzyme activity and microbial community dynamics.
Results
Long-term crop rotation and nitrogen application led to an increase ranging from 2.16% to 108.34% in the nine components of soil nitrogen. The variations in total nitrogen, heavy fraction organic nitrogen, and light fraction organic nitrogen were primarily influenced by the enrichment of the Actinobacteriota phylum. The environmental factors affecting the changes in inorganic nitrogen, alkaline hydrolyzable nitrogen, exchangeable ammonium and acid hydrolyzable nitrogen were linked to the Ascomycota phylum. The Proteobacteria phylum and urease were key factors in the variations of organic nitrogen and nitrate-nitrogencomponents, respectively.
Conclusions
Changes in inorganic nitrogen and total organic nitrogen resulting from crop rotation enhanced the richness of soil microbial communities, reducing their diversity. This alteration influenced the bacterial and fungal communities composition, ultimately augmenting their functional capacities.
Las Bolitas Syndrome in Penaeus vannamei hatcheries in Latin America
Authors: Intriago Pablo , Montiel Bolivar , Valarezo Mauricio , Romero Xavier , Arteaga Kelly , Cercado Nicole , Burgos Milena , Shinn Andrew P. , Montenegro Alejandra , Medina Andrés , Gallardo Jennifer
Published: March 2024

Several hatcheries in Latin America reported mortality of zoea stage 2 Penaeus vannamei. In fresh mounts, round structures resembling lipid droplets were observed, reminiscent of a disease called "Las Bolitas Syndrome" first identified in 1987. Closer examination under routine histopathology revealed the presence of detached cells and tissue in the digestive tract, whereas unaffected tanks displayed a typical intestinal content containing algae cells. Polymerase Chain Reaction of diseased and healthy batches of larvae for 22 shrimp pathogens revealed similar test results. The larvae were negative for nineteen pathogens, including AHPND. The detection of Vibrio spp. in both samples of affected zoea 3 (Z3) was the principal difference. Histology of affected zoeas were characterized by tissue degeneration in the hepatopancreas forming spheres that eventually moved into the upper gut, midgut and midgut caeca - a pathology known as Bolitas syndrome (BS). Microbiological analysis showed Vibrio spp. at ≤ 105 CFU zoea/g, ≈ 2 orders of magnitude higher than healthy zoea. Isolation of bacteria from healthy and BS affected zoea onto TCBS and CHROMagar™ and consequentially identified by API 20 E revelated six strains of V. alginolyticus. Though fresh mounts resembled the general description for “Las Bolitas Syndrome”, the histopathology differed from the original description. The intestine contained sloughed cells; the lateral lobes constituting the developing hepatopancreas in Z3 could be differentiated by their colour, with sloughed cells inside the peritrophic membrane. PCR and microbiological analyses verified that the origin of Las Bolitas Syndrome is bacterial in nature, with Vibrio playing a significant role.
Mendelian randomization study shows no causal effects of polycystic ovarian syndrome on the risk of preeclampsia
Authors: Yin Fufen , Yin Xiuju , Xie Junshu , Zhu Ye , Zhang Xiaohong
Published: March 2024

Background
Previous studies have shown an association between polycystic ovary syndrome (PCOS) and the increased risk of developing preeclampsia (PE). However, other studies have not found an independent association between the two. A causal association between PCOS and PE remains unclear. The objective of this study was to determine whether PCOS has a causal relationship with PE.
Methods
A two-sample Mendelian randomization (MR) analysis was performed by using the inverse‐variance weighted (IVW), weighted median, MR‐Egger regression, simple mode, and weighted mode methods. We used the publicly available summary statistics data sets of genome‐wide association studies (GWAS) meta‐analyses for PCOS (N = 113238) as the exposure and a GWAS for PE (N = 267242) as the outcome. In addition, the heterogeneity, horizontal pleiotropy, and stability were assessed through several sensitivity analyses.
Results
13 single nucleotide polymorphisms (SNPs) at genome-wide significance from GWASs on PCOS were selected as the instrumental variables (IVs). The results of all the methods including IVW, weighted median, MR‐Egger regression, simple mode, and weighted mode were consistent and showed no causal association between PCOS and PE (P > 0.05)
Conclusion
The results of MR analysis support that PCOS may not be causally associated with an increased risk of PE. We suggest PCOS should not be presently included as a risk factor in obstetrical guidelines and prediction models for PE. To determine whether PCOS and PE are associated, further research is needed.
Enhanced efficiency of silicon solar cell by new salophen complexes embedded PMMA as light concentrators
Authors: Ahmed Radwa K. , Mohamed Naglaa M. , Reda S. M.
Published: March 2024

The Schiff base N,N-bis(salicylidene)-o-phenylenediamine (salophen) was prepared by the condensation of salicylaldehyde with o-phenylenediamine in ethanol solution. Two new Zn(II) and Ni (II) salophen complexes, were synthesized, fully characterized by infrared (IR), 1H NMR spectroscopic measurements, UV-Vis spectra, photoluminescence (PL), and X-ray diffraction. The prepared complexes were used as phosphors to fabricate complexes/PMMA slab-based luminescent solar concentrators (LSC). The thermal stability of pure and doped PMMA polymer was examined by differential scanning calorimetry. Various parameters such as the optical energy gap, refractive index, AC and DC conductivity, dielectric constant, dielectric loss, Urbach energy, fluorescence quantum yield, and Stokes shift have been calculated and discussed. Optical absorption is carried out in wavelength region 200-900 nm at room temperature before and after the samples have been exposed to sunlight for up to 8 hrs. Photodegradation studies showed that the Zn (II) complex/PMMA LSC have the lowest rate of degradation compared with Ni (II) complex/PMMA LSC with the same concentration (0.06% weight). I–V characteristics of the photovoltaic devices with and without collectors were examined. The PV cell coupled with LSC shows an increase in maximum efficiency by about 50% compared to the normal one. This indicates that the proposed technique is very useful for improving the efficiency of solar cells.
Network Type Recognition Using Machine Learning Techniques
Authors: Ray Debmalya
Published: March 2024

The telecom industry is going through a massive digital transformation with the adoption of ML, AI, feedback-based automation and advanced analytics to handle the next generation applications and services. AI concepts are not new; the algorithms used by Machine Learning and Deep Learning are being currently implemented in various industries and technology verticals. With growing data and immense volume of information over 5G, the ability to predict data proactively, swiftly and with accuracy, is critically important. Data-driven decision making will be vital in future communication networks due to the traffic explosion and Artificial Intelligence (AI) will accelerate the 5G network performance. Mobile operators are looking for a programmable solution that will allow them to accommodate multiple independent tenants on the same physical infrastructure and 5G networks allow for end-to-end network resource allocation using the concept of Network Slicing (NS). Network Slicing will play a vital role in enabling a multitude of 5G applications, use cases, and services. Network slicing functions will provide an end-to-end isolation between slices with an ability to customize each slice based on the service demands (bandwidth, coverage, security, latency, reliability, etc).
Impact of Nutrient-Stimulated Hormone (NUSH) Dynamics on Body Weight
Authors: Andrade Luís Jesuino de Oliveira , de Oliveira Gabriela Correia Matos , de Oliveira Luisa Correia Matos , Bittencourt Alcina Maria Vinhaes , de Oliveira Luis Matos
Published: March 2024

Introduction: Nutrient-stimulated hormones (NUSH) play a critical role in regulating energy metabolism. Dysregulation of NUSH signaling is associated with obesity, there is a lack of quantitative models to investigate the complex dynamics of NUSH signaling and its impact on obesity development.
Objective: To explore the relationship between NUSH and body weight using mathematical modeling.
Methods: Data on elevated body weight were collected from meta-analysis studies available on Pubmed, utilizing incretin-based therapies. A mathematical model was developed using software to integrate interactions between NUSH levels and changes in body weight. The model accurately captured the complex dynamics and feedback loops involved in obesity-related hormonal regulation, employing differential equations and statistical techniques. Parameter estimation was performed using meta-analysis results to minimize the discrepancy between model predictions and observed data.
Results: This study included 15 meta-analysis studies on liraglutide, semaglutide, and tirzepatide for the treatment of obesity. A mathematical model was developed to understand NUSH dynamics in relation to obesity. The model deduced the formula: NUSH(t) = N0 * (1 - e^(-kt)) + I * [1 - e^(-βt)] / β, which considers NUSH levels over time, initial levels, decay rate, impact of nutrient intake on hormone secretion, and the rate at which the effect of nutrient intake reaches its maximum.
Conclusion: Evaluating the association between NUSH and increased body weight through mathematical modeling can provide insights into the complex interactions between nutrient stimuli, hormonal responses, and obesity development.
Learning to Accelerate Tightening of Convex Relaxations of the AC Optimal Power Flow Problem
Authors: Cengil Fatih , Nagarajan Harsha , Bent Russell , Eksioglu Sandra , Eksioglu Burak
Published: March 2024

We propose a machine learning (ML)-based method aimed at accelerating convergence to global solutions for the Alternating Current Optimal Power Flow (AC-OPF) problem. Our method enhances the efficiency of the optimality-based bound tightening (OBBT) algorithm, known in the literature for effectively tightening variable bounds in the non-convex AC-OPF problem. While the OBBT algorithm provides nearly global optimum solutions through tight convex relaxations, its inherent computational burden persists, even for medium-scaled power networks. The proposed novel ML-based policy, integrated into the OBBT algorithm, replaces the exhaustive OBBT without compromising optimality guarantees. This policy dynamically selects a subset of variables whose sequential bound tightening contributes to tighten the convex relaxation of the AC-OPF problem. To this end, we leverage historical data to learn a correlation between the load profiles and variable subsets via their rankings. Our policy, coupled with the parallel implementation of the OBBT algorithm, facilitates the discovery of near-global optimal solutions in significantly reduced computation times. We demonstrate this through detailed numerical experiments on medium to large-scale instances with up to 3,375 buses. Across the held-out set of instances, we observe up to 20x speed-up in run times of the ML-accelerated OBBT algorithm. To our knowledge, this is the first ML-based approach to demonstrate such large speed-ups for tightening convex relaxations on realistic large-scale power grid instances.
High-Performance All-Solid-State Lithium Metal Batteries Enabled by Ionic Covalent Organic Framework Composites
Authors: Huang Jun , Cheng Lei , Zhang Zhenyang , Li Chen , Bang Ki-Taek , Liem Albert , Luo Hang , Hu Chuan , Lee Young Moo , Lu Yingying , Wang Yanming , Kim Yoonseob
Published: March 2024

Ionic covalent organic frameworks (iCOFs) are crystalline materials with stable porous structures. They hold great potential for ion transport, particularly as solid-state electrolytes (SSEs) for all-solid-state Lithium metal batteries (ASSLMBs). However, achieving an ionic conductivity of over 10−3 S cm−1 at room temperature using pure-iCOF-based SSEs, even adding additives such as lithium salts, is challenging as the voids work as strong resistances. Thus, highly conductive iCOFs typically require quasi-solid-state configurations with organic solvents or plasticizers. In this study, we prepared composites comprising iCOFs and poly(ionic liquid) (PIL) to make all-solid-state iCOFs electrolytes with an exceptional ionic conductivity up to 1.50 × 10−3 S cm−1 and a high Li+ transference number of > 0.80 at room temperature. Combined experimental and computational studies showed that the co-coordination and competitive coordination mechanism established between the PIL, lithium bis(trifluoromethanesulfonyl)imide (LiTFSI) and iCOFs enabled rapid Li+ transport while restricting TFSI− movement. ASSLMB cells, made of composite SSEs and LiFePO4 composite cathode, demonstrated an initial discharge capacity of 141.5 mAh g−1 at 1 C and r.t., with an impressive capacity retention of 87% up to 800 cycles. Overall, this work presents a breakthrough approach for developing advanced SSEs for next-generation high-energy-density ASSLMBs.
Implementation Of Two Cross Two Switch To Implement Bitonic Sorting Circuit
Authors: Bhattacharjee Subhasree , Sarkar Soumyadip , Das Kunal , Sadhu Arindam , Sarkar Bikramjit
Published: March 2024

Reversible logic synthesis is becoming a significant research component for post-CMOS computing devices, particularly quantum computing. In this work we connect the reversible logic synthesis problem to sorting algorithms. Reversible logic has emerged as a promising technology in recent years, with applications in low power CMOS, quantum computing, nanotechnology, and optical computing. The classical gates AND, OR, and XOR are not reversible. This paper employs the control swap gate to implement a 2x2 switch. In multiprocessor system different computing operations are performed concurrently to get higher throughput. Sorting network can be used to tie up different parts of a large complex system efficiently with least amount of hardware to perform concurrent operations. A sorting network can be built using a multiple input and multiple output switching network. Following the implementation of the 2x2 switch, a bitonic sorting circuit is designed. The goal of developing a reversible sorting circuit is to reduce power consumption while maintaining reliable communication. The bitonic sorting circuit was successfully implemented, and the output was simulated in IBM qiskit. This presents efficient sorting circuit that can sort binary numbers in ascending/descending order.
The Eco-Theology of The Lombok Community in The Tradition of Bau Nyale
Authors: Hanik Umi , Khamidah Nur
Published: March 2024

The Bau Nyale tradition is an annual tradition of the Lombok people which has a high sacred value, because it respects the sacrifice of Princess Mandalika. Traditions that are full of sacredness need to be preserved so that there is no bias between the sacred and tourism. Bau Nyale has ecological and theological values ​​for the people of Lombok; this value is interesting to study from a sociological, anthropological and religious perspective. The research is an integrative qualitative research with an ethnomethodological approach, as a way to know the culture of the community directly, the culture of the people here is not only a small community (the community around the Seger beach) but also does not rule out the possibility for a wider reach. The result of this research is that there is a correlation between Man, Nature and God in the Bau Nyale Tradition, this can be seen in the first form, namely the economy (humans), on the basis of awareness of the importance of economic needs that can be fulfilled by the number of visitors to Seger Beach and Mandalika Beach. which makes the Bau Nyale tradition still supported and exists to this day. The second is the environment. The Bau Nyale tradition is not only seen as a tradition of looking for sea worms, but has strong values ​​that are not stated directly, namely preserving the environment on the coast. The divine basis is his view of the Bau Nyale tradition which is based on an understanding of divinity as the basis of habituation that humans cannot rain, arrange constellations, and produce nyale according to their wishes, except for the power of God.
HAMZAH FANSURI’S PHILOSOPHICAL TASAWWUF: A CONCEPT OF WUJUDIYYAH
Authors: Saputra Gebby Endra
Published: March 2024

This research focuses on the kalam thought of Hamzah Fansuri, a well-known Sufi in Nusantara. Many view Hamzah Fansuri's teachings as promoting pantheism, the belief that the universe is a manifestation of God. This research uses the library method and is descriptive-analytical, describing Hamzah Fansuri's thought and analyzing his kalam thought. The results of the research show that Hamzah Fansuri's kalam thought is oriented towards the concept of wujudiah, the belief that the highest truth of human faith is ma'rifat, a state where one is united with God. In the process, a salik (Sufi traveler) needs the guidance of a guru or mursyid who will help them achieve the true level of ma'rifat and reach the level of self-annihilation (Fana' fi Allah). The wujudiyah concept of Hamzah Fansuri has a wide influence and gives a falsafi color to the Sufi tradition that developed in Nusantara. Hamzah Fansuri is an early Islamic figure in Nusantara who played an important role in the development of Islam in Indonesia.
THE CONCEPT AND LEVELS OF MAHASANTRI UNDERSTANDING ON RELIGIOUS MODERATION IN MA'HAD AL-JĀMI'AH UIN ANTASARI BANJARMASIN
Authors: Saputra Riza
Published: March 2024

The study of religious moderation seems to be a wave today. In the framework of higher education, although studies on religious moderation have been widely carried out in the last few decades, studies on religious moderation are still limited to the program activities, roles, and efforts made by PTKIN. This study wants to know the success of these programs and efforts by looking at the level of understanding of Ma'had al-Jāmi’ah UIN Antasari students in describing religious moderation. This study aimed to determine the understanding of Mahasantri and the factors influencing their knowledge of religious moderation. This qualitative descriptive field study shows the results that mahasantri's understanding of religious moderation can be categorized into several key concepts; religious moderation is: 1) the Middle Way, fair and balanced; 2) it is not rigid and fanaticism in religion; 3) it is the one that is not exaggerating, 4) it does not impose its beliefs on others, 5) Religious Moderation is a Process and Tolerance is a result of it. At the level of understanding, mahasantri’s understanding is not only at the first level of understanding (translation), but their understanding has also entered the second and third levels of understanding, namely interpretation, and extrapolation.
GRAMMATICAL EVIDENCE AND ITS EFFECT IN DIRECTING MEANING (BETWEEN AL-QURTUBI AND IBN ASHOUR IN THEIR INTERPRETATIONS) (INFLECTIONAL MARKING AS AN EXAMPLE)
Authors:   PhD student of Arabic Language Deaprtment, Kulliyyah of Theology, Quranic Sciences & Arabic Language, Sultan Abdul Halim Muadzam Shah International Islamic University (UniSHAMS)., Ahmed Mohamed Abdelhamid Mahmoud , Ibrahim Hassan Othman Mohamed ,   Arabic language department, Kulliyyah of Theology, Quranic Sciences & Arabic Language, Sultan Abdul Halim Muadzam Shah International Islamic University (UniSHAMS), 09300 Kuala Ketil, Kedah, Malaysia., Abdelwahab Ayoub Othman Abdelsattar ,   Arabic Language Department, Kulliyyah of Theology, Quranic Sciences & Arabic Language, Sultan Abdul Halim Muadzam Shah International Islamic University (UniSHAMS), 09300 Kuala Ketil, Kedah, Malaysia.
Published: March 2024

The Holy Quran possesses a plurality of significations and connotations, and the comprehension and elucidation of said significations are intrinsically tied to the unveiling of the contextual factors and evidentiary substantiation that surround the text in terms of circumstances and literary components. The purpose of this investigation is to observe a noteworthy phenomenon in the realm of linguistic studies that assumes an influential and prominent function in guiding the text, which is the effect of clues in directing meanings and connotations. The researches methodology employed is of a descriptive and analytical nature. This approach involves extracting the evidence found in the interpretations of Al-Qurtubi and Ibn Ashour. Subsequently, the description of this evidence is elucidated, followed by an analysis of its impact on directing the intended meaning. The research has yielded several findings, one of which is the significant influence of grammatical signs on the direction of meaning, according to Al-Qurtubi and Ibn Ashour. This is due to the fact that meanings can be manifold and vary depending on the grammatical interpretation, thereby affording the text extensive and meaningful connotations.
ENVIRONMENTAL ASSESSMENT OF NARMADA RIVER WATER QUALITY AT SANDIA TO HOSHANGABAD & PHOTO DEGRADATION BY NANO-CATALYST ZNO
Authors:   Research Scholar Govt. Narmada Collage Narmada Puram., Tiwari Nisha , Kumar Sikarwar Arun ,   Professor of Chemistry Govt. Home Science P.G. Collage Narmada Puram., Choubey O.N ,   Professor of Chemistry and Principal of Govt. Narmada Collage Narmada Puram.
Published: March 2024

In Madhya Pradesh, water is dependent on Narmada River for agriculture, fisheries and other water related works, due to which we can say that the area of â€‹â€‹current research is Narmada River, in which the physical and chemical observation of the water effect of Narmada River is to be done so that the water of the river can be controlled. The quality of water and the pollution in it are known. Various physico-chemical parameters, including temperature, pH, turbidity, total hardness, alkalinity, DO, BOD, COD, chloride, fluoride, phosphate, nitrate, iron, copper, coliform, were analyzed in the samples, which were taken from five distinct locations. Every parameter is determined using the standardized APHA and BIS and WHO approach. The cause of pollution in Narmada River is sewage which is dumped in Narmada River in large quantities which affects the water quality. The indices from all the places show that the river water is getting polluted rapidly which will result in the river becoming polluted. water will not be potable.The photo catalytic degradation process is an advanced process which is giving a new dimension to water purification (90% to 95%) and protecting the environment as eco-friendly process.
ELDER ABUSE IN FAMILY: A CROSS SECTIONAL COMMUNITY BASED STUDY IN RURAL SOLAPUR, MAHARASHTRA
Authors:   Junior Resident, Department of Community Medicine, Dr.V.M.Govt. Medical College, Solapur., Gaikwad Sagar , Jatti Gajanan ,   Associate Professor, Department of Community Medicine, Dr.V.M.Govt. Medical College, Solapur., Mulaje Sanjay ,   Statistician Cum Assistant Professor, Dept. of Community Medicine, Dr.V.M.Govt. Medical College, Solapur.
Published: March 2024

Background: Indias aging population is projected to grow significantly, emphasizing the need to address elder abuse, which has severe consequences and is associated with increased mortality and morbidity. Objectives: This study aimed to estimate the prevalence of elder abuse, analyze patterns and associated factors among elder in rural Solapur. Methodology: A community-based observational study was conducted on elder individuals residing in a Primary Health Centres headquarters village in Solapur. By simple random sampling 279 elder residing in Headquarter village of a randomly selected Primary Health Centre in Solapur district were selected. Elder abuse was assessed through structured questionnaires, excluding sexual abuse. Results: The prevalence of elder abuse in the past year was found to be 24.73%, with psychological abuse being the most common type of abuse found in 20.43% elder. Neglect, financial abuse and physical abuse were 16.12%, 7.52% and 4.30% respectively. Factors significantly associated with elder abuse included gender, marital status, occupation, personal income and possession of property. Higher prevalence of abuse was observed among females, widowed individuals, currently working elders, those with lower incomes, and those without property or assets. Conclusions: Elder abuse in family environment was found to be occurring in rural area of Solapur, with every fourth elder being abused. Present study highlights the importance of addressing elder abuse, especially psychological abuse, among rural elder populations.
VERGİ MÜKELLEFİNİN İTİBARININ UNUTULMA HAKKI KAPSAMINDA KORUNMASI
Authors: Kalyon Arzu
Published: March 2024

Kamu makamları, yasal bir zorunluluk olması veya kamu yararına yürütülen bir işin gerekli olması halinde vergi mükellefinin kişisel verilerini ekonomik nitelikte olsun veya olmasın işlemektedir. Kamu makamlarının vergilendirilebilir gelir ve varlıklara erişmesinde kamu yararı vardır ancak burada kamu yararı olması, söz konusu verilerin yayımlanması ve ifşasında da kamu yararı olduğu anlamına gelmemektedir. Özellikle vergi mükellefinin kişisel verileri yalnızca ekonomik nitelikte değil aynı zamanda hassas nitelikte veriler içeriyorsa mükellefin itibarının korunması daha da önemli hale gelecektir. Mevzuatımızda unutulma hakkı doğrudan düzenlenmemiş olsa bile, vergi mükellefi, “vergi yüzsüzleri listesi” gibi yayımlanmış verileri var ise bunların belli bir süre sonra silinmesini talep edebilmelidir. Bunun yanı sıra, vergi mükellefleri verilerinin yayımı öncesi idare ile etkin bir iş birliği yaparak hangi verilerinin yayınlanacağı konusunda bilgilendirilmedir. Bu çalışmada, vergi mükellefinin verisinin yayımlanmamasını isteme hakkı olup olmadığı tartışılmış ve de yayımlanmış verilerin silinmesini talep etme hakkı olup olmadığı hem Türk hukuk mevzuatı hem de güncel Avrupa İnsan Hakları Mahkemesi kararları çerçevesinde incelenmiştir.
Innovación y competitividad en las organizaciones
Authors:   Universidad Católica Luis Amigó, Martínez Gómez Jormaris
Published: March 2024

La innovación y competitividad en las organizaciones es la temática que congrega esta obra, compuesta por capítulos resultados de investigaciones. En estos se podrán leer avances acerca de cómo se puede generar valor agregado en las organizaciones mediante procesos, procedimientos y productos innovadores, lo que redunda en ventajas competitivas de acuerdo con el sector en el que la organización participe.
Evaluation of vulnerable zones to water pollution in the lower Soummam alluvial aquifer, Bejaia, Algeria
Authors: Ouyahia Nadia , Saou Abdelhamid , Maza Mustapha , Bouchraki Faiza
Published: March 2024

Understanding the critical relationship between the Soummam River and its alluvial aquifer is crucial for the protection of this vital water resource. The approach is based on monitoring the spatial and temporal evolution of physico-chemical parameters and identifying their origin through correlation with the geology and piezometry of the alluvial aquifer; this will be achieved using differential gauging and hydrogeochemical tracing. This will provide valuable information for the management and protection of this precious water resource. The case study focuses on the alluvial aquifer of the lower Soummam Valley in Bejaia, Algeria, where a unique natural barrier upstream creates a close hydraulic relationship between the river and the aquifer. This allows for water exchange, which we investigated through two sampling campaigns (high and low water) at 32 water points (boreholes, wells and stations). By tracking the movement of special chemical tracers in both the Soummam River and the underlying alluvial aquifer, this study confirms a direct hydraulic connection between them. This means that water can flow from the river into the aquifer, highlighting the potential risk of water pollution. This has helped us to identify areas where pollution from the river could seep into the groundwater, threatening the drinking water supply.
Rejuvenation of water bodies with recycled water
Authors: Tyagi Radhey Shyam , Singh S. K. , Goyal P. K.
Published: March 2024

This study investigated the new routes of groundwater replenishment in water-constrained urban communities. Against the present water demand of 1,440 million gallons per day (MGD) in Delhi, 1,000 MGD including 140 MGD groundwater is being supplied. Additionally, residents, institutions and commercial occupants are illegally extracting 250 MGD. This groundwater extraction is enormous in comparison with the water injected into the ground through rain water harvesting, resulting in the tremendous depletion of the groundwater table. The aim of the study is to replenish groundwater with tertiary treated effluent available round the year. The study is conducted on one natural water body rejuvenated in the South and another artificial water body constructed in West Delhi with the objective of determining whether groundwater can be replenished with tertiary treated water with an improved quality, and whether it can be replicated elsewhere. The qualities of the groundwater and water tables were checked before and after rejuvenating the water bodies. The utilization of tertiary treated effluents has resulted in raising the groundwater tables from 5 to 7 m and improved the quality of the groundwater in the past 2 years. This practice can be replicated elsewhere as done in Brisbane (Australia) and Singapore.
In Silico Analysis of Natural Plant-Derived Cyclotides with Antifungal
Activity against Pathogenic Fungi
Authors: Sharma Akshita , Butool Bisma , Sahu Pallavi , Mishra Reema , Mohanty Aparajita
Published: March 2024

Background:

Fungal infections in plants, animals, and humans are widespread across
the world. Limited classes of antifungal drugs to treat fungal infections and loss of drug efficacy
due to rapidly evolving fungal strains pose a challenge in the agriculture and health sectors.
Hence, the search for a new class of antifungal agents is imperative. Cyclotides are cyclic plant
peptides with multiple bioactivities, including antifungal activity. They have six conserved cysteine
residues forming three disulfide linkages (CI-CIV, CII-CV, CIII-CVI) that establish a Cyclic Cystine
Knot (CCK) structure, making them extremely resistant to chemical, enzymatic, and thermal
attacks.

Aim:

This in silico analysis of natural, plant-derived cyclotides aimed to assess the parameters
that can assist and hasten the process of selecting the cyclotides with potent antifungal activity and
prioritize them for in vivo/ in vitro experiments.

Objective:

The objective of this study was to conduct in silico studies to compare the physicochemical
parameters, sequence diversity, surface structures, and membrane-cyclotide interactions
of experimentally screened (from literature survey) potent (MIC ≤ 20 μM) and non-potent (MIC >
20 μM) cyclotides for antifungal activity.

Methodology:

Cyclotide sequences assessed for antifungal activity were retrieved from the
database (Cybase). Various online and offline tools were used for sequence-based studies, such as
physicochemical parameters, sequence diversity, and neighbor-joining trees. Structure-based
studies involving surface structure analysis and membrane-cyclotide interaction were also carried
out. All investigations were conducted in silico.

Result:

Physicochemical parameter values, viz. isoelectric point, net charge, and the number of
basic amino acids, were significantly higher in potent cyclotides compared to non-potent cyclotides.
The surface structure of potent cyclotides showed a larger hydrophobic patch with a higher
number of hydrophobic amino acids. Furthermore, the membrane-cyclotide interaction studies
of potent cyclotides revealed lower transfer free energy (ΔG transfer) and higher penetration depth
into fungal membranes, indicating higher binding stability and membrane-disruption ability.

Conclusion:

These in silico studies can be applied for rapidly identifying putatively potent antifungal
cyclotides for in vivo and in vitro experiments, which will ultimately be relevant in the agriculture
and pharmaceutical sectors.
Tetrandrine for Targeting Therapy Resistance in Cancer
Authors: Lima Ellen Nogueira , Lamichhane Santosh , K. C Pramod Bahadur , Ferreira Elisa Silva , Koul Sweaty , Koul Hari K.
Published: March 2024

During the last five decades, there has been tremendous development in our understanding
of cancer biology and the development of new and novel therapeutics to target cancer. However,
despite these advances, cancer remains the second leading cause of death across the globe.
Most cancer deaths are attributed to the development of resistance to current therapies. There is an
urgent and unmet need to address cancer therapy resistance. Tetrandrine, a bis-benzyl iso-quinoline,
has shown a promising role as an anti-cancer agent. Recent work from our laboratory and
others suggests that tetrandrine and its derivatives could be an excellent adjuvant to the current
arsenal of anti-cancer drugs. Herein, we provide an overview of resistance mechanisms to current
therapeutics and review the existing literature on the anti-cancer effects of tetrandrine and its potential
use for overcoming therapy resistance in cancer.
In silico Evaluation of NO-Sartans against SARS-CoV-2
Authors: Omidkhah Negar , Hadizadeh Farzin , Ghodsi Razieh , Kesharwani Prashant , Sahebkar Amirhossein
Published: March 2024

Introduction:

Numerous clinical trials are currently investigating the potential of nitric
oxide (NO) as an antiviral agent against coronaviruses, including SARS-CoV-2. Additionally,
some researchers have reported positive effects of certain Sartans against SARS-CoV-2.

Method:

Considering the impact of NO-Sartans on the cardiovascular system, we have compiled
information on the general structure, synthesis methods, and biological studies of synthesized NOSartans. In silico evaluation of all NO-Sartans and approved sartans against three key SARS-CoV-
-2 targets, namely Mpro (PDB ID: 6LU7), NSP16 (PDB ID: 6WKQ), and ACE-2 (PDB ID: 1R4L),
was performed using MOE.

Results:

Almost all NO-Sartans and approved sartans demonstrated promising results in inhibiting
these SARS-CoV-2 targets. Compound 36 (CLC-1280) showed the best docking scores against
the three evaluated targets and was further evaluated using molecular dynamics (MD) simulations.

Conclusion:

Based on our in silico studies, CLC-1280 (a Valsartan dinitrate) has the potential to
be considered as an inhibitor of the SARS-CoV-2 virus. However, further in vitro and in vivo evaluations are necessary for the drug development process.