Effective Strategy Research Articles

Equity and access in higher education: Legal perspectives and management strategies

Ensuring equity and access in higher education has become a paramount concern for institutions, policymakers, and stakeholders worldwide. This review delves into the legal frameworks and management strategies essential for promoting equity and access within higher education systems. Firstly, legal perspectives provide a foundation for understanding the rights and responsibilities of both institutions and students. Various laws and regulations, including affirmative action policies, anti-discrimination statutes, and accessibility mandates, shape the legal landscape of higher education equity. Analyzing landmark court cases and legislative acts elucidates the evolving nature of these legal frameworks and their implications for fostering inclusive environments. Secondly, effective management strategies play a pivotal role in translating legal mandates into actionable initiatives. Institutional leaders must prioritize diversity, equity, and inclusion (DEI) efforts across all facets of academic and administrative operations. Implementing proactive recruitment and retention practices, establishing support services for underrepresented groups, and fostering a culture of inclusivity are among the key strategies employed to enhance accessibility and promote equity. Moreover, leveraging technology and data analytics can facilitate evidence-based decision-making and resource allocation, thereby addressing disparities in educational outcomes. Collaborative partnerships with community organizations, government agencies, and industry stakeholders also amplify the impact of equity initiatives and expand access to higher education opportunities. Navigating the complex intersection of legal requirements and management imperatives is essential for advancing equity and access in higher education. By embracing a holistic approach that combines legal compliance with strategic planning and proactive interventions, institutions can foster environments where all individuals have equitable opportunities to succeed and thrive academically.

Strategic human resource management for sustainability in creative industries: A review and framework proposal

Strategic Human Resource Management (SHRM) has emerged as a critical approach for fostering sustainability within the dynamic landscape of creative industries. This review presents a comprehensive review of existing literature on SHRM in the context of creative industries, culminating in a proposed framework aimed at enhancing sustainability in these sectors. The review begins by examining the unique challenges faced by creative industries, characterized by rapid technological advancements, evolving consumer preferences, and intense competition. In this context, traditional HRM approaches are often insufficient, necessitating a strategic alignment between HR practices and organizational objectives to ensure long-term viability. Key themes identified in the literature review include talent management, organizational culture, employee engagement, and leadership development. Effective talent management strategies are crucial for attracting, retaining, and developing skilled individuals who drive innovation and creativity within creative firms. Furthermore, fostering a supportive organizational culture that values diversity, collaboration, and experimentation is vital for promoting sustainability in these industries. Employee engagement emerges as a critical factor influencing organizational performance and resilience, particularly in creative environments where intrinsic motivation plays a significant role. Moreover, leadership development programs tailored to the unique needs of creative professionals can empower individuals to navigate uncertainty and drive strategic initiatives that contribute to organizational sustainability. Building upon these insights, this review proposes a framework for SHRM in creative industries, integrating strategic planning, talent management, culture development, and leadership practices. The framework emphasizes the alignment between HR strategies and business goals, emphasizing the importance of agility, innovation, and adaptability in response to dynamic market conditions. Strategic Human Resource Management plays a pivotal role in enhancing sustainability within creative industries by fostering a culture of innovation, empowering employees, and cultivating leadership capabilities. The proposed framework provides a roadmap for organizations seeking to navigate the complexities of the creative landscape while maximizing long-term success and resilience.

Chemical management in electronics manufacturing: Protecting worker health and the environment

In the realm of electronics manufacturing, the management of chemicals is paramount to safeguarding both worker health and environmental sustainability. This review delves into the strategies and challenges associated with chemical management within this industry. The utilization of various chemicals in electronics manufacturing processes presents potential hazards to both workers and the environment. From cleaning agents to solvents and fluxes, these substances pose risks ranging from acute toxicity to long-term health effects and environmental contamination. Effective chemical management strategies are therefore indispensable. This review discusses the proactive measures implemented by electronics manufacturers to mitigate these risks. It explores the adoption of alternative, less hazardous chemicals and the implementation of engineering controls to minimize exposure. Additionally, stringent protocols for handling, storage, and disposal are essential components of comprehensive chemical management programs. Furthermore, regulatory frameworks play a pivotal role in shaping chemical management practices within the electronics manufacturing sector. Compliance with local and international regulations such as REACH (Registration, Evaluation, Authorization, and Restriction of Chemicals) and RoHS (Restriction of Hazardous Substances) is imperative to ensure the safety of workers and the environment. However, despite these efforts, challenges persist. Balancing the need for innovation and productivity with chemical safety requirements remains a significant challenge for manufacturers. Additionally, global supply chain complexities add another layer of complexity to chemical management efforts. Effective chemical management in electronics manufacturing demands a multi-faceted approach encompassing technological innovation, regulatory compliance, and a commitment to worker health and environmental stewardship. By addressing these challenges collaboratively, the industry can strive towards safer and more sustainable practices.

Tekrarlayan idrar yolu enfeksiyonlarında etiyolojik paternler ve antibiyotik direnci: Retrospektif bir analiz

Amaç: Bu çalışma, tekrarlayan idrar yolu enfeksiyonlarının (rUTİ'ler) etiyolojisini ve rekürrensle ilişkili faktörleri retrospektif olarak analiz etmeyi amaçlamaktadır. Escherichia coli, UTİ'lerde yaygın bir patojen olmakla birlikte, artan antibiyotik direnci büyük bir endişe kaynağıdır. Çalışma, rUTİ'lerde E. coli'nin prevalansını ve antibiyotik direnç modellerini değerlendirirken, bu enfeksiyonların nedenlerini ve tekrarlanma ile ilişkili faktörleri de incelemektedir.
 Gereç ve Yöntemler: 2020 ve 2023 yılları arasında Özel Kızılay Kağıthane Hastanesinde yürütülen bu retrospektif kohort çalışması, rUTİ tanısı almış 265 hastayı içermektedir. Veriler, demografik bilgileri, klinik geçmişi, üropatojenleri ve antibiyotik direnç modellerini kapsayarak, bu popülasyonda etyoloji ve direnç trendleri hakkında içgörüler sunmaktadır.
 Sonuçlar: Escherichia coli, rUTİ vakalarının %70.6'sında başlıca üropatojen olarak ortaya çıkmış, önemli bir oranı kotrimoksazol (%54.5) ve florokinolonlara (%46.5) karşı direnç göstermiştir. Çalışma, çoğunlukla kadın hastaları (%79.2) kapsamış, cinsel aktivitenin bu hastaların %60'ında önemli bir risk faktörü olduğu belirtilmiştir. Ayrıca, hastaların %40'ı orta ila şiddetli semptomlar bildirerek, bu durumun yaşam kalitesi üzerindeki etkisini vurgulamıştır.
 Sonuç: Bu çalışma, özellikle Escherichia coli izolatlarında artan antibiyotik direnci bağlamında rUTİ'lerin meydan okumasını ele almanın aciliyetini vurgulamaktadır. Hastaların demografik özelliklerini ve risk faktörlerini rUTİ yönetiminde göz önünde bulundurmanın önemini vurgulamaktadır. rUTİ'lerin bireyler ve sağlık sistemleri üzerindeki yükünü hafifletmek için etkili terapötik ve önleyici stratejiler geliştirmek amacıyla gelecekte yapılacak prospektif çalışmalar da dahil olmak üzere, gelecekteki araştırmalar hayati önem taşımaktadır.

Regulating the Pore Structure of Activated Carbon by Pitch for High-Performance Sodium-Ion Storage.

The pore structure of carbon anodes plays a crucial role in enhancing the sodium storage capacity. Designing more confined pores in carbon anodes is accepted as an effective strategy. However, current design strategies for confined pores in carbon anodes fail to achieve both high capacity and initial Coulombic efficiency (ICE) simultaneously. Herein, we develop a strategy for utilizing the repeated impregnation and precarbonization method of liquid pitch to regulate the pore structure of the activated carbon (AC) material. Driven by capillary coalescence, the pitch is impregnated into the pores of AC, which reduces the specific surface area of the material. During the carbonization process, numerous pores with diameters less than 1 nm are formed, resulting in a high capacity and improved ICE of the carbon anode. Moreover, the ordered carbon layers derived from the liquid pitch also enhance the electrical conductivity, thereby improving the rate capability of as-obtained carbon anodes. This enables the fabricated material (XA-4T-1300) to have a high ICE of 91.1% and a capacity of 383.0 mA h g-1 at 30 mA g-1. The capacity retention is 95.5% after 300 cycles at 1 A g-1. This study proposes a practical approach to adjust the microcrystalline and pore structures to enhance the performance of sodium-ion storage in materials.

First Report of Achromobacter xylosoxidans Causing Bacterial Stem and Leaf Blight on Cyrilla arida in Tennessee and the United States.

Scrub titi (Cyrilla arida), broadleaf semi-evergreen shrub, is endemic to central Florida. However, its smaller stature, lustrous, dark-green leaves and abundance of white racemes in late spring make it a potential candidate for future use in Southeastern U.S. landscapes. Three-years-old container grown C. arida plants maintained in a shade house at the Nursery Research Center, McMinnville, TN exhibited black leaf lesions and brown stem lesions (Fig. 1a) in April 2023. The disease severity was 25% of the shoot area and the disease incidence was 10% out of 60 plants. Symptomatic stem and leaf tissues were surface sterilized with 0.525% NaOCl for 1 min. Bacterial colonies were white-colored, opaque, round with smooth edges on lysogen broth agar medium after 2 days of incubation at 28°C. Bacteria were gram-negative and non-fluorescent on King's B. Esculin, catalase, and oxidase tests were positive but arginine dihydrolase and gelatine hydrolysis were negative. Bacterial identity was confirmed by sequencing of DNA from pure cultures (strains FBG5290 and FBG5294). The 16S ribosomal RNA, RNA polymerase sigma factor (rpoD), enolase (eno), and NADH-quinone oxidoreductase subunit L (nuoL) genes were amplified and sequenced using the primers 8F/1492R (Galkiewicz et al. 2008), rpoDpF/R (Sarkar and Guttman 2004), enoP1/P2 and nuoLP1/P2 (Spilker et al. 2012), respectively. The sequences were deposited in GenBank with acc. nos.: OR689356, OR689357 (16S); OR751366, OR751367 (rpoD); OR792456, OR792457 (eno); and OR792458, OR792459 (nuoL). The closest identified species to our two identical strains was Achromobacter xylosoxidans (CP054571), showing 99.6%, 95.2%, 96.2%, and 95.0% identity with >99% coverage to the above mentioned gene sequences, respectively. Phylogenetic analysis, using concatenated sequences along with the genome sequences of other closely related taxa (Fig. 2), suggest that A. xylosoxidans is presently the identified species, but given the results of the MLST, it may be that this organism will be classified as new species in the future. The pathogenicity of the strains was confirmed on 1-year-old C. arida by inoculating five plants per strain. Stems were inoculated by depositing 15 µl of bacterial suspension (1x108 CFU/mL) into the stem wounded using a scalpel. The inoculation sites were covered with moist cotton and wrapped with Parafilm. Inoculation was also performed on three leaves per plant by using a needleless syringe to infiltrate bacteria into the intercellular spaces (1x108 CFU/mL). Sterile water was used for five control plants. Plants were kept in a greenhouse at 21-23°C, 70% RH, and 16-h photoperiod. All inoculated plants showed brown lesions in stems (Fig. 1b and 1c) and leaves (Fig. 1d) 7-10 days after inoculation, while control plants remained asymptomatic (Fig. 1e and 1f). The bacteria were re-isolated from inoculated plants and confirmed as A. xylosoxidans using morphological and molecular methods. Achromobacter spp. are commonly known as human pathogens, and cross-kingdom pathogenic bacterium in animal (mice) and fungi (Coprinus comatus) (Ye et al. 2018). However, A. xylosoxidans was recently reported as the causal agent of stem rot of Amorphophallus konjac in China (Wei et al. 2023). To our knowledge, this is the first report of A. xylosoxidans causing bacterial stem and leaf blight of C. arida in Tennessee and the U.S. Identification of this novel disease lays the foundation development of effective management strategies.

What makes children aged 10 to 13 engage in problematic smartphone use? A longitudinal study of changing patterns considering individual, parental, and school factors.

The current research aimed to discover classification concerning problematic smartphone use in children. Furthermore, to investigate their longitudinal trajectories, as well as to discover the connection concerning problematic smartphone usage by individual, parental, and school factors. A total of 2,399 South Korean children who were in the 4th grade (female 1,206 (50.3%), age 10-13 years) at baseline. Latent class growth analysis was utilized to discover typologies in problematic smartphone use and their longitudinal trajectories. Multinomial logistic regression analysis was used to find various associations among problematic smartphone use and individual, parental, as well as school factors. The results identified three distinct trajectories of problematic smartphone use: (1) a high-level group (7.7%), (2) a mid-increasing group (62.5%), and (3) a low-increasing group (29.8%). The increasing group showed the highest level of problematic smartphone use. Gender, self-esteem, social withdrawal, exercise, parental inconsistency, monthly income, and teacher support were significant predictors. The findings suggest that there are distinct developmental trajectories concerning problematic smartphone usage of childhood. The results show that the early discovery of children in danger of problematic smartphone use and targeted interventions aimed at reducing parental inconsistency and social withdrawal, improving self-esteem, exercise, and teacher support may be effective strategies for preventing problematic smartphone usage during childhood.

Enhancing fucoxanthin production in Chaetoceros calcitrans under mixotrophic condition and LED wavelength shift strategy

This study addresses the challenge of achieving high fucoxanthin (Fx) productivity in Chaetoceros calcitrans under mixotrophic cultivation which often struggle to simultaneously increase biomass and Fx content. To overcome this, we investigated the potential of C. calcitrans for Fx production under mixotrophic conditions by investigating the interaction of organic carbon, light intensity, and light emitting diode (LED) color shifts during cultivation to optimize Fx production. Results revealed significant influences of various organic carbon sources on Fx productivity, with glycerol and glucose showing promising outcomes. Furthermore, the addition of external urea enhanced Fx content in mixotrophic cultivation. Response Surface Methodology (RSM) analysis highlighted the synergistic effect of light intensity and glycerol addition on Fx productivity. Most notably, shifting from white to blue LED during mixotrophic cultivation at the end of the exponential phase significantly increased Fx productivity in C. calcitrans to 3.2 mg L−1 d−1, representing a 1.3-fold enhancement compared to white LED sources. These findings underscore the potential of mixotrophic cultivation and LED color shifts as effective strategies for improving Fx productivity in diatoms.

Who Did What to Whom and How: A Scoping Review of Interventions to Promote Children's Self‐Efficacy in Mainland China

ABSTRACTSelf‐efficacy refers to an individual's judgement, belief and perception of their capability to accomplish specific tasks, which is crucial for children's mental well‐being. The primary objective of this scoping review was to systematically examine intervention studies aimed at enhancing children's self‐efficacy in Mainland China, intending to inform social work practices in child services. We conducted a comprehensive search of articles in Web of Science and CNKI to review empirical intervention studies published before March 2022 in either Chinese or English. The selection criteria included all empirical intervention studies focused on improving self‐efficacy in children in Mainland China. A total of 17 studies were identified and included in the review. Among these, six studies focused on general self‐efficacy, while the remaining 11 examined domain‐specific self‐efficacy. Seven studies provided compensatory interventions to children facing adversity, five studies implemented preventive services, and another five offered developmental services to children in regular circumstances. Fourteen programmes exclusively served children, while three studies involved parents. Notably, most of the included interventions were facilitated by research teams from universities, with only one led by a social work department. Education modalities and comprehensive interventions were commonly used and found to be effective. The current state of intervention studies underscores the need for programmes that utilize effective strategies and approaches to enhance children's self‐efficacy. Social workers are encouraged to play both direct and indirect roles in services aimed at improving children's self‐efficacy.

Is ALPPS still appropriate for large or locally advanced hepatocellular carcinoma in an era of targeted agents and immunotherapy?

Therapeutic options for large or locally advanced hepatocellular carcinoma (HCC) have limited efficacy. This study investigated the efficacy and safety of drug-eluting beads trans-arterial chemo-embolization (dTACE), portal vein embolization (PVE), tyrosine kinase inhibitor (TKI), and immune checkpoint inhibitors (ICI) compared to Associating Liver Partition and Portal vein ligation for Staged hepatectomy (ALPPS) for large or locally advanced HCC.Data regarding clinicopathological details, safety, and oncological outcomes were reviewed for the quadruple therapy (dTACE-PVE-TKI-ICI) and compared with ALPPS.From 2019 to 2020, 10 patients with large or locally advanced HCC underwent future remnant liver (FRL) modulation (dTACE-PVE-TKI-ICI: 5; ALPPS: 5). All five dTACE-PVE-TKI-ICI cases responded well, with patients #4 and #5 achieving complete tumor necrosis. The overall response rate (ORR) was 5/5. Patients #1-4 underwent hepatectomy, while #5 declined surgery due to complete tumor necrosis. Mean FRL volume increased by 75.3% (range 60.0%-89.4%) in 2-4months, compared to 104.6% (range 51.3%-160.8%) in 21-37days for ALPPS (P = 0.032). Major postoperative complications occurred in 1/5 ALPPS patients. Resection rates were 4/4 for quadruple therapy and 5/5 for ALPPS. 2-year progression free survival for dTACE-PVE-TKI-ICI and ALPPS were 5/5 and 3/5, respectively.Quadruple therapy is a feasible, effective strategy for enhancing resectability by downsizing tumors and inducing FRL hypertrophy, with manageable complications and improved long-term prognosis. In addition, it provokes the re-examination of the application of ALPPS in an era of molecular and immune treatments.

Neuro-linguistic Programming and Its Relationship with Psychological Flexibility Among Secondary School Students in Najran Region

There is an increasing interest in Neuro-linguistic Programming (NLP) and its impact on teaching and learning. Exploring its use as a supportive method to enhance students' capabilities is crucial. Through the literature review concerning NLP, its role in PF, and student learning, it is evident that it has not been examined. The current study aims to investigate the relationship between Neuro-linguistic Programming (NLP) and Psychological Flexibility (PF) levels among high school students in Najran region. The study sample consisted of 634 male and female students, selected using convenience sampling. The NLP scale by Abu-Ruman [1] and the PF scale by Singh and Nan yu [2] were utilized after ensuring their validity and reliability. The study results revealed a low level of NLP and a high level of PF among high school students in Najran Region. In addition, the results indicated a significant correlation between NLP (as a whole and its dimensions) and PF. Studying NLP and its connection to PF in secondary school students can contribute to improving educational programs and psychological interventions aimed at supporting students in developing language skills and psychological adaptation. This connection can help students enhance their communication and adaptability to psychological and social challenges. In addition, this relationship can lead to the development of more effective educational and psychological support strategies for students in this crucial stage of their lives.

Three-Dimensional Genomics: A New Perspective and Therapeutic Strategies in Prostate Cancer Research

Prostate cancer (PC) poses significant health risks to men globally. Enhancing our understanding of prostate cancer biology is crucial for facilitating early diagnosis and effective treatment strategies. A multitude of high-throughput sequencing studies, encompassing whole genome resequencing, transcriptome sequencing, and genome-wide association studies, have unearthed vital point mutations, structural variations, and epigenomic alterations linked to prostate cancer. These findings have significantly enriched our knowledge of the genomic framework for prostate cancer. Still, these investigations have predominantly centered on the one- or two-dimensional landscape of the genome. Research in three-dimensional genomics underscores the critical role of the genome's three-dimensional spatial structure in maintaining normal cellular functions. Additionally, it demonstrates that dysregulation of key genes in numerous cancers relates to the chromatin's spatial organization across various levels. This article explores the intricate three-dimensional architecture of chromosomes. It outlines the progressive development of techniques used in three-dimensional genomic research and synthesizes the application of these techniques in the study of prostate cancer biology. Furthermore, it proposes potential therapeutic strategies for prostate cancer.

Divergence-Guided Simultaneous Speech Translation

To achieve high-quality translation with low latency, a Simultaneous Speech Translation (SimulST) system relies on a policy module to decide whether to translate immediately or wait for additional streaming input, along with a translation model capable of effectively handling partial speech input. Prior research has tackled these components separately, either using ``wait-k'' policies based on fixed-length segments or detected word boundaries, or dynamic policies based on different strategies (e.g., meaningful units), while employing offline models for prefix-to-prefix translation. In this paper, we propose Divergence-Guided Simultaneous Speech Translation (DiG-SST), a tightly integrated approach focusing on both translation quality and latency for streaming input. Specifically, we introduce a simple yet effective prefix-based strategy for training translation models with partial speech input, and develop an adaptive policy that makes read/write decisions for the translation model based on the expected divergence in translation distributions resulting from future input. Our experiments on multiple translation directions of the MuST-C benchmark demonstrate that our approach achieves a better trade-off between translation quality and latency compared to existing methods.

Amalgamating Multi-Task Models with Heterogeneous Architectures

Multi-task learning (MTL) is essential for real-world applications that handle multiple tasks simultaneously, such as selfdriving cars. MTL methods improve the performance of all tasks by utilizing information across tasks to learn a robust shared representation. However, acquiring sufficient labeled data tends to be extremely expensive, especially when having to support many tasks. Recently, Knowledge Amalgamation (KA) has emerged as an effective strategy for addressing the lack of labels by instead learning directly from pretrained models (teachers). KA learns one unified multi-task student that masters all tasks across all teachers. Existing KA for MTL works are limited to teachers with identical architectures, and thus propose layer-to-layer based approaches. Unfortunately, in practice, teachers may have heterogeneous architectures; their layers may not be aligned and their dimensionalities or scales may be incompatible. Amalgamating multi-task teachers with heterogeneous architectures remains an open problem. For this, we design Versatile Common Feature Consolidator (VENUS), the first solution to this problem. VENUS fuses knowledge from the shared representations of each teacher into one unified generalized representation for all tasks. Specifically, we design the Feature Consolidator network that leverages an array of teacher-specific trainable adaptors. These adaptors enable the student to learn from multiple teachers, even if they have incompatible learned representations. We demonstrate that VENUS outperforms five alternative methods on numerous benchmark datasets across a broad spectrum of experiments.

Assessment of captan pesticide stability by thermal and spectroelectrochemical analysis

In this study, thermal analysis and electrochemical methods were used to evaluate the stability of captan pesticide (CPTN). Simultaneous Thermogravimetry (TG), Differential Thermal Analysis (DTA) and Differential Scanning Calorimetry (DSC) were successfully applied to study the stability of CPTN in the temperature range from 20 to 600 °C. The stability evaluation of CPTN by spectroelectrochemical analysis was carried out using cyclic voltammetry (CV) and electrolysis at constant current density in association with UV−Vis spectrophotometry. Thermoanalytical results revealed a relative stability of CPTN up to a temperature of 154 °C, and above this temperature the pesticide molecule undergoes irreversible degradation. The kinetic approach of the electrochemical results on the electrochemical degradation of CPTN showed a rate constant of 0.02 min−1 in the presence of chloride ions and 0.089 min−1 in the presence of bromide ions. Thermal and electrochemical methods are considered effective strategies applied in order to eliminate pesticides from polluted waters, and the choice of optimal parameters can considerably increase the efficiency of decontamination. The study also aims to provide insights into electrode processes to address the mechanism of electrochemical degradation.

Identification of Anoikis-Related Genes in Spinal Cord Injury: Bioinformatics and Experimental Validation.

Spinal cord injury (SCI) is a serious disease without effective therapeutic strategies. To identify the potential treatments for SCI, it is extremely important to explore the underlying mechanism. Current studies demonstrate that anoikis might play an important role in SCI. In this study, we aimed to identify the key anoikis-related genes (ARGs) providing therapeutic targets for SCI. The mRNA expression matrix of GSE45006 was downloaded from the Gene Expression Omnibus (GEO) database, and the ARGs were downloaded from the Molecular Signatures Database (MSigDB database). Then, the potential differentially expressed ARGs were identified. Next, correlation analysis, gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and protein-protein interaction (PPI) analysis were employed for the differentially expressed ARGs. Moreover, miRNA-gene networks were constructed by the hub ARGs. Finally, RNA expression of the top ten hub ARGs was validated in the SCI cell model and rat SCI model. A total of 27 common differentially expressed ARGs were identified at different time points (1, 3, 7, and 14days) following SCI. The GO and KEGG enrichment analysis of these ARGs indicated several enriched terms related to proliferation, cell cycle, and apoptotic process. The PPI results revealed that most of the ARGs interacted with each other. Ten hub ARGs were further screened, and all the 10 genes were validated in the SCI cell model. In the rat model, only seven genes were validated eventually. We identified 27 differentially expressed ARGs of the SCI through bioinformatic analysis. Seven real hub ARGs (CCND1, FN1, IGF1, MYC, STAT3, TGFB1, and TP53) were identified eventually. These results may expand our understanding of SCI and contribute to the exploration of potential SCI targets.

Air Quality Index Prediction Using Machine Learning

Air pollution poses a significant threat to public health, particularly in rapidly developing countries like India, where urbanization and industrialization contribute to diverse sources of pollutants. This research employs machine learning techniques to comprehensively analyse and predict air quality levels across different regions of India. Extensive air quality data, encompassing various pollutants and temporal variations, is collected and compiled. State-ofthe-art machine learning models are developed to identify key influencing factors, including industrial emissions, vehicular traffic, agricultural practices, and meteorological conditions. The models are evaluated for accuracy and reliability in predicting air quality levels. The study aims to provide valuable insights into the complex dynamics of air pollution in the Indian context. By understanding the contributing factors and predicting future air quality levels, this research contributes to the development of targeted and effective air quality management strategies. Keywords: Machine Learning, Air Pollution, AQI.

Cyclophosphamide stimulates endoplasmic reticulum stress and induces apoptotic cell death in human glioblastoma cell lines.

Cyclophosphamide (CP) is an alkylating chemotherapeutic agent commonly used in cancer treatments. In this study, we aimed to investigate the effects of 4-Hydroperoxy cyclophosphamide (4-HC), which is active form of CP, on glucose-regulated protein 78 (GRP78), activating transcription factor 6 (ATF6), phospho-protein kinase R (PKR)-like endoplasmic reticulum (ER) kinase (p-PERK), phospho-inositol-requiring enzyme 1 alpha (p-IRE1α), eukaryotic translation initiation factor 2 alpha (eIF2α), and caspase-3 messenger ribonucleic acids (mRNAs) and proteins that play roles in the ER stress pathway and apoptosis in U87 and T98 human glioblastoma cell lines. U87 and T98 human glioblastoma cell lines were divided into control and 4-HC-treated groups. Cell viability assay was used to detect the half maximal inhibitory concentration (IC50) for 24 hours of 4-HC. Immunocytochemistry and quantitative polymerase chain reaction (qPCR) methods were used to evaluate the levels of proteins and their mRNAs. The IC50 values of U87 and T98 cells were calculated as 15.67±0.58 μM and 19.92±1 μM, respectively. The levels of GRP78, ATF6, p-PERK, p-IRE1α, eIF2α, and caspase-3 protein expressions in the 4-HC-treated group compared to that in the control group. These increased protein expressions also were correlated with the mRNA levels. The ER stress signal pathway could be active in 4-HC-induced cell death. Further studies of ER-related stress mechanisms in anticancer treatment would be important for effective therapeutic strategies.

Multifunctional carboxymethyl cellulose film by adjusting cellulose structure through molten salt hydrates

The functional and environmentally friendly materials derived from cellulose have attracted increasing attention due to their extensive application. In this work, a new approach for preparation of carboxymethyl cellulose (CMC) films by adjusting the structure of cellulose with molten salt hydrates (MSHs) was proposed. The dissolving ability of cellulose in single and mixed MSHs was studied, and the structure of regenerated cellulose was characterized. The mechanism of cellulose dissolution and regeneration revealed that cellulose regenerated from mixed MSH (LiCl–2ZnCl2–6H2O) was conducive to derivatization. CMC films were synthesized from regenerated cellulose, and their structure–property relationships were investigated. CMC films with good mechanical strength and transmittance and CMC-H films with water resistance and flexibility were successfully prepared, illustrating that adjusting cellulose structure by using MSHs is an effective strategy for developing multifunctional CMC films.

Abstract 5716: CDK7 as a drug target in advanced stage uveal melanoma

Abstract Uveal melanoma (UM) metastasizes predominantly to the liver, and most metastatic UM are BAP1-deficient. Targeted therapies, such as MEK inhibitors, have failed clinically. There are few FDA-approved therapies for metastatic UM, but these therapies are limited to only a subset of patients and have modest survival benefits. Hence, there is a need to identify novel and effective treatment strategies. Due to the low mutational burden in UM, targeting transcriptional may be an effective strategy. Here, we identified Cyclin Dependent Kinase 7 (CDK7), a key regulator of transcription, as an essential and druggable target in UM. CDK7 directly phosphorylates RNA polymerase II and is expressed in all UMs. siRNA-mediated knockdown of CDK7 decreased the growth of three BAP1-deficient UM cell lines. We tested a clinically relevant, highly specific CDK7 inhibitor, SY-5609, developed by Syros Pharmaceuticals and similarly showed that the cell lines were sensitive to the growth inhibitory effects of SY-5609. Furthermore, we observed synergistic effects on cell growth inhibition when combined with a MEK inhibitor (Trametinib). We performed RNA sequencing and identified several Hallmark Genesets to be positively enriched, including interferon-gamma response, TGF-beta signaling, and NFκB signaling after treatment with SY-5609. These results are validated using a multi-omic approach, utilizing Reverse Phase Protein Array (RPPA) data to validate transcriptome to proteome expression of these enriched pathways. Overall, our studies indicate that targeting CDK7 in uveal melanoma is a potential treatment strategy for BAP1-deficient UM and enhances MEK inhibitor efficacy. Citation Format: Francis J. Waltrich. CDK7 as a drug target in advanced stage uveal melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 5716.