Inventory Items Research Articles

Assessment of the entrepreneurial intention of university students using rasch methodology

Entrepreneurial intention is guided by actions and intrinsic skills, namely, understanding entrepreneurial characteristics and becoming capable of devising, articulating, and sustaining innovative ideas. Thus, conceptions are generally linked to innovation, with active methodologies such as workshops, journeys, courses, and lectures playing a vital role. Therefore, it is essential to promote entrepreneurial intention in the academic environment, specifically in agricultural science courses. In light of this demand, this study aimed to assess the entrepreneurial intention of university students participating in the Sustainable Agro Entrepreneurship Program (AGROS), using the Rasch methodology. The program was developed to spread entrepreneurship among students of the Center for Applied Agricultural Sciences (CCAA) at the Federal University of Sergipe (UFS), through four systematically and interactively planned workshops. The study investigated the validity of evidence related to the internal structure of the Global University Entrepreneurial Spirit Students' Survey (GUESSS) and the evolution of the students’ entrepreneurial intention. Fifty-seven (57) students participating in the Program were evaluated based on responses to items in the GUESSS inventory, at two points: Pretest (T0) and Follow-up (T1). The results indicated that the program had a positive impact on stimulating entrepreneurial intention in agricultural sciences, particularly regarding the creation of new businesses in the field. Furthermore, the research identified the main factors contributing to the program’s success, such as the integration of workshops and lectures, the presence of highly qualified professionals, and the use of active methodologies.

Exploring Inventory Management System with Priority Sequencing

Effective inventory management is crucial for businesses to optimise their resources and meet customer demand. This abstract introduces an Inventory Management System (IMS) that utilises priority sequencing to enhance the control and organisation of inventory items. The system employs various prioritisation criteria, such as item demand, shelf life, or profitability, to determine the sequence in which items are received, stored, and dispatched. Prioritisation Criteria: The IMS allows businesses to set specific rules and criteria for prioritising inventory items. This includes factors like customer demand, product shelf life, or item profitability. Real-time Monitoring: The system provides real-time visibility into inventory levels, allowing businesses to make informed decisions on restocking, order processing, and inventory allocation. Automated Reordering: IMS can automatically generate reordering recommendations based on preset priorities, ensuring that essential items are always in stock. Cost Reduction: By efficiently managing inventory based on priority sequencing, businesses can minimise holding costs, reduce wastage, and optimise working capital. Enhanced Customer Satisfaction: Prioritising items based on customer demand ensures that popular products are readily available, leading to improved customer satisfaction and retention. Forecasting Capabilities: The system can use historical data to predict future demand trends and adjust prioritisation accordingly. Reporting and Analytics: IMS provides detailed reports and analytics to help businesses fine-tune their inventory management strategies.

ECONOMIC ORDER QUANTITY (EOQ) MODEL: WEIBULL AMELIORATING ITEMS WITH CONSTANT DEMAND RATE

In this study, we investigate the behavior of inventory items having the potential of incurring significant increase in their utilities or values while in stock in accordance to the Weibull distribution law. The amelioration of an inventory occurs when it remains in stock but depletes as a result of constant demand rate. The Weibull amelioration function plays the role of depicting the amelioration state of an inventory whereas the constant demand function describes the different possible stages of market demand. We describe the application of simple, yet analytical, approach for successful derivation and analyses of the underlying inventory system. We furthermore, analyze the model while providing, for the model, the necessary but sufficient and optimal replenishment policy. We use numerical results and examples to better illustrate the solution and successfully carryout the sensitivity analysis and the evaluation of the model.

Мовно-ілюстративний матеріал як вторинна знакова (мікро)система

The article focuses on the study of illustrations found in linguistic and language teaching literature from a perspective of their operating as a secondary semiotic system. Such systems can comprise a limited inventory of items and belong to a specific author’s discourse, where their field of reference is determined by the producent’s associations of individual and subjective nature, and therefore generally hidden from the average recipient. Also, they may be related, as their plan de signification, to social communicativefunctional discursive varieties (as those of state politics, ideology, or literary criticism). In both cases, the emergence of such secondary systems results from the conscious intent of the producent.

Initial Validation of AUGS-PERFORM: Construct Validity and Test-Retest Reliability.

The American Urogynecologic Society's Prolapse pERFORmance Measure (AUGS-PERFORM) patient-reported outcome measure contains 11 items designed to assess symptoms relevant for assessing the quality of treatment for pelvic organ prolapse. The aim of the study was to test AUGS-PERFORM's construct validity and test-retest reliability. For this prospective validation study, we recruited English-speaking adult participants, at a single academic institution, seeking care for pelvic organ prolapse. Participants completed AUGS-PERFORM, the Pelvic Floor Distress Inventory, and several Patient-Reported Outcomes Measurement Information System short forms at baseline. We compared the 11 AUGS-PERFORM items against items testing the same concepts on other questionnaires using percent agreement, kappa statistics, and linear regression to determine construct validity. Two weeks later and before any pelvic organ prolapse therapy, participants completed AUGS-PERFORM a second time. Test-retest reliability was assessed using intraclass correlation coefficients. We enrolled 148 participants between 27 and 86 years of age: 81% self-identified as White, 56% were sexually active, and 84% elected surgery for treatment. The AUGS-PERFORM items assessing bulge presence and bother had a high percent agreement with the Pelvic Floor Distress Inventory item #3 (83.5 and 70%, respectively). The percent agreement ranged from 69% to 75% for items assessing urinary and defecatory symptoms and from 49% to 56% for pain-related questions. Sexual function items had a strong negative correlation (expected direction based on scoring) with validated sexual function questionnaires. The intraclass correlation coefficient was estimated to be 0.86, indicating excellent test-retest reliability. The AUGS-PERFORM demonstrated good construct validity for prolapse, urinary incontinence, defecatory dysfunction, and sexual function questions, and moderate construct validity for pain-related questions. There was excellent test-retest reliability.

ChatGPT's quality: Reliability and validity of concept inventory items.

The recent advances of large language models (LLMs) have opened a wide range of opportunities, but at the same time, they pose numerous challenges and questions that research needs to answer. One of the main challenges are the quality and correctness of the output of LLMs as well as the overreliance of students on the output without critically reflecting on it. This poses the question of the quality of the output of LLMs in educational tasks and what students and teachers need to consider when using LLMs for creating educational items. In this work, we focus on the quality and characteristics of conceptual items developed using ChatGPT without user-generated improvements. For this purpose, we optimized prompts and created 30 conceptual items in kinematics, which is a standard topic in high-school level physics. The items were rated by two independent experts. Those 15 items that received the highest rating were included in a conceptual survey. The dimensions were designed to align with the ones in the most commonly used concept inventory, the Force Concept Inventory (FCI). We administered the designed items together with the FCI to 172 first-year university students. The results show that ChatGPT items have a medium difficulty and discriminatory index but they overall exhibit a slightly lower average values as the FCI. Moreover, a confirmatory factor analysis confirmed a three factor model that is closely aligned with a previously suggested expert model. In this way, after careful prompt engineering, thorough analysis and selection of fully automatically generated items by ChatGPT, we were able to create concept items that had only a slightly lower quality than carefully human-generated concept items. The procedures to create and select such a high-quality set of items that is fully automatically generated require large efforts and point towards cognitive demands of teachers when using LLMs to create items. Moreover, the results demonstrate that human oversight or student interviews are necessary when creating one-dimensional assessments and distractors that are closely aligned with students' difficulties.

The profile of symptom change with transcranial magnetic stimulation for major depressive disorder

BackgroundAntidepressant treatments can differ in the depressive symptoms that improve the least and the most. The profile of symptom change with TMS has yet to be characterized. MethodsThe PHQ-9 and QIDS-SR were administered to 578 patients with MDD who scored ≥ 10 on both instruments at baseline and received ≥ 36 TMS sessions. For both instruments, differences in severity among symptoms were characterized before and following TMS. The extent to which TMS produced a non-specific, generalized improvement across symptoms or a symptom-specific profile of improvement was evaluated. ResultsSymptoms differed markedly in average severity at baseline, with the profiles consistent across the two instruments. Comparisons of symptom severity before and after TMS produced very large main effects of time (Pre vs Post) and inventory item, but only small interaction effects, indicating limited symptom specificity in improvement. There was widespread improvement across symptoms, and the limited apparent symptom specificity was largely due to floor effects in specific symptoms present at baseline. Comparisons of three TMS protocols, Left, Sequential Bilateral, and Mixture, revealed no differences in profile of symptom change. Following TMS, the severity of residual symptoms in responders who did not remit, while substantially improved, largely mirrored the baseline profile. LimitationsThe findings derived from two self-report instruments that assess nine criterion depressive symptoms. Corroboration with clinician ratings is needed. ConclusionsTreatment of depression with TMS results in a marked downward shift of the baseline profile of symptom severity. There is large, generalized improvement across symptoms and limited symptom specificity.

Sense of Belonging Among Medical Students, Residents, and Fellows: Associations With Burnout, Recruitment Retention, and Learning Environment.

This study examines sense of belonging (belongingness) in a large population of medical students, residents, and fellows and associations with learner burnout, organizational recruitment retention indicators, and potentially modifiable learning environment factors. All medical students, residents, and fellows at Mayo Clinic sites were surveyed between October and November 2020 with items measuring sense of belonging in 3 contexts (school or program, organization, and surrounding community), burnout (2 Maslach Burnout Inventory items), recruitment retention indicators (likelihood of recommending the organization and accepting a job offer), potentially modifiable learning environment factors, and demographic factors (age, gender, race and ethnicity, LGBTQ+ identification, disability, and socioeconomic background). Of 2,257 learners surveyed, 1,261 (56%) responded. The number of learners reporting a somewhat or very strong sense of belonging was highest in the school or program (994 of 1,227 [81%]) followed by the organization (957 of 1,222 [78%]) and surrounding community (728 of 1,203 [61%]). In adjusted analyses, learners with very strong organization belongingness had lower odds of burnout (odds ratio [OR], 0.05; 95% CI, 0.02-0.12) and higher odds of being likely to recommend the organization (OR, 505.23; 95% CI, 121.54-2,100.18) and accept a job offer (OR, 38.68; 95% CI, 15.72-95.15; all P < .001). School or program and community belongingness were also strongly associated with these outcomes. In multivariable analyses, social support remained associated with higher odds of belongingness in school or program, organization, and surrounding community, favorable ratings of faculty relationships and leadership representation with higher odds of school or program and organization belongingness, and favorable ratings of diversity, equity, and inclusion learning climate with higher odds of community belongingness. Belongingness among medical students, residents, and fellows varies across contexts, strongly correlates with learner burnout and organizational recruitment retention indicators, and is associated with multiple potentially modifiable learning environment factors.

Effect of inflation adjustments on inventories&lt;sup&gt;&lt;/sup&gt;

This study examines the effect of inflation accounting, which has been brought to the agenda again due to the increasing inflation in recent periods, on inventories, which is one of the non-monetary items. The case study method was used. Based on the Borsa Istanbul sector index, the inventories item in the financial statements of 6 enterprises operating in the Forestry Products and Furniture sector was subjected to inflation adjustment with the simple average method according to the producer price index 2022. As a result of the inflation adjustment, it was observed that the inventory item increased, and the same increase caused an increase in the equity item.

Effect of sleep quality on repetitive transcranial magnetic stimulation outcomes in depression.

While repetitive transcranial magnetic stimulation (rTMS) is effective for 50-60% of those treatment-resistant depression, it is critical to identify predictors of response for optimal patient selection to improve therapy. Insomnia is a known symptom of depression that is both correlated with depression severity and associated with poor antidepressant response. Therefore, understanding this relationship may open new opportunities for the optimization of rTMS treatment. We aimed to explore whether baseline sleep quality, specifically insomnia, is associated with rTMS outcomes in a naturalistic sample of 975 patients (age 18-90; 63.9% F) receiving a standard course of rTMS treatment from two outpatient TMS clinics located within psychiatric hospitals in the United States. One site additionally collected information on concurrent medication use on 350 patients; among these, we examined whether pharmacological treatment of insomnia affected TMS treatment response. Depression was measured using the 30-item Inventory of Depressive Symptomology Self Report (IDS-SR) in site one and an abbreviated 16-item Quick Inventory of Depressive Symptomology (QIDS) derived from the IDS-SR in site two. Sleep disturbances were measured using three insomnia-related questions. Multilevel logistic regression was used to determine whether baseline insomnia scores were associated with TMS treatment outcome. Upon dichotomous categorization of the sample by insomnia and sleep-medication use, depression and sleep scores were analyzed across time using mixed repeated measures ANOVA. We found that sleep quality improves after TMS (p<.001) and correlates with improvement in non-insomnia related depression symptoms (r= .318, p<.001). We found that among those who had significant insomnia at baseline, those not using sleep medications had significantly worse post-treatment IDS-SR scores compared to those using sleep medications (p=. 021) despite no difference in final insomnia score. Together, our results suggest that while baseline insomnia is not associated with TMS effectiveness, treating insomnia may affect the trajectory of TMS therapy. Future prospective studies are needed to examine the effect of insomnia treatment alongside TMS for depression.

Abstract C031: The association of adverse childhood experiences (ACEs) and cancer history with resilience: Results from Alabama sites of the RURAL cohort study

Abstract Background: Prior studies have reported a significant association between Adverse Childhood Experiences (ACEs) and various health outcomes, including cancer; however, these have been limited to descriptive and cross-sectional studies. These studies reported that resilience, or the ability to adapt to challenging life experiences, is inversely associated with ACEs and cancer history. To date, there are no studies evaluating the interaction of ACEs and a cancer diagnosis on resilience among adult survivors. The primary aim of this study is to estimate the prevalence of ACEs among RURAL Alabama participants and to determine if the presence of ≥ 4 ACEs and a cancer history influences the odds of reporting self-perceived low and medium (vs. high) resilience compared to those with 0-3 ACEs and no cancer history. Methods: We utilized data from Alabama participants of the RURAL (Risk Underlying Rural Areas Longitudinal) Cohort Study, a prospective study designed to evaluate risk factors for heart and lung disorders in four rural southeastern states. Individuals aged 25-64 years and residents of two counties in Alabama were enrolled and completed a baseline and 3-month follow-up survey. The 30-item Early Trauma Inventory was used to assess the prevalence of ACEs, and the 10-item Connor Davidson-10 Resilience Scale was used to measure self-perceived resilience. Participants were categorized as having high resilience if their total resilience score was ≥75th percentile, medium resilience for scores ≥25th and &amp;lt;75th percentile, and low resilience for scores &amp;lt;25th percentile. Weighted multinomial logistic regression models were used to evaluate the association between number of ACEs (0-3 ACEs vs. ≥ 4 ACEs) and resilience categories and tested interactions between ACEs and cancer history; a p-value &amp;lt;0.05 was considered statistically significant. Results: Of the 556 participants, 38.9% reported having 0-3 ACEs, and 61.1% reported ≥ 4 ACEs. In adjusted models among participants with no cancer history, those experiencing ≥ 4 ACEs had 2.38 times the odds of reporting low (vs. high) resilience (95% CI: 1.93, 2.94) and 1.18 times the odds of reporting medium (vs. high) resilience (95% CI: 1.04, 1.35) compared to those experiencing 0-3 ACEs. Among participants with a cancer history, those experiencing ≥ 4 ACEs had 1.82 times odds of reporting low (vs. high) resilience (95% CI: 1.01, 3.28) and 0.76 times odds of reporting medium (vs. high) resilience (95% CI: 0.49, 1.18) compared to those experiencing 0-3 ACEs. Interactions between ACEs and cancer history were not statistically significant for low and medium (vs. high) resilience (p-values: 0.4 and 0.06, respectively). Conclusion: Those with a cancer history and ≥ 4 ACEs were more likely to report self-perceived low resilience. Significant interactions between ACEs and cancer history were not observed in predicting low and medium resilience (vs. high). To better understand the cumulative effects of ACEs, it is necessary to longitudinally evaluate individuals’ ability to adapt, especially among cancer survivors. Citation Format: Stephie Abraham, Kathy B. Baumgartner, Richard Baumgartner, Jesse Hsu, Joanna Walsh, Mahasin S Mujahid, Viola Vaccarino, Stephanie Boone. The association of adverse childhood experiences (ACEs) and cancer history with resilience: Results from Alabama sites of the RURAL cohort study [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C031.

Development and psychometric evaluation of the self-care of informal caregivers inventory

BackgroundIn recent years, a growing body of literature on informal caregivers’ health and well-being has emerged, highlighting the need for a tool to measure their self-care practices. ObjectiveThe aim of the study was to develop a theory-based instrument measuring the self-care behaviors of informal caregivers and test its psychometric properties. DesignThe initial phase of instrument development entailed a detailed, six-step process (conceptualization, theoretical adaptation, back-translation and cultural adaptation, cognitive interviewing, item enhancement, and content validity), followed by formal psychometric testing (participant engagement, validity, internal consistency reliability, test-retest reliability). SettingStudy conducted at a hospital located in Tehran, Iran. ParticipantsA sample of 234 informal caregivers of cancer outpatients receiving treatment in oncology wards was enrolled. Caregivers had to be 18 years or older, recognized as the primary caregiver by the patient, and willing to provide informed consent. MethodsThe Self-Care of Informal Caregivers Inventory items comprise three dimensions: self-care maintenance (11 items), self-care monitoring (7 items), and self-care management (9 items), which achieved a content validity index rating of 100 % in a panel of experts. Data were collected from caregivers during routine clinic visits. Construct validity was verified through exploratory structural equation modelling and reliability was verified using Cronbach's α and multidimensional model-based reliability. Test-retest reliability was evaluated using the Intraclass Correlation Coefficient. ResultsAll three dimensions showed good model fit indices (self-care maintenance: Comparative Fit Index = 1.00, Tucker-Lewis Index = 0.99, Root Mean Square Error of Approximation = 0.044; self-care monitoring: Comparative Fit Index = 1.00, Tucker-Lewis Index = 1.00, Root Mean Square Error of Approximation = 0.027; self-care management: Comparative Fit Index = 0.99, Tucker-Lewis Index = 0.99, Root Mean Square Error of Approximation = 0.048) and Cronbach's α of 0.88, 0.88, and 0.91, respectively. The overall multidimensional model-based reliability was 0.93. The Intraclass Correlation Coefficient values for the three dimensions were 0.94, 0.60, and 0.51, respectively. ConclusionPreliminary testing provides support for use of the Self-Care of Informal Caregivers Inventory in research. Using this theory-based instrument to assess the self-care practices of informal caregivers can assist in identifying topics to discuss and opportunities for guidance. Tweetable AbstractThe Self-Care of Informal Caregivers Inventory: A validated tool for informal caregivers is useful for research. #Informalcaregivers #SelfCare

TATA KELOLA ASET DESA DI DESA MANDIRI JAYA KECAMATAN KELAM PERMAI KABUPATEN SINTANG

The problem in the research is the importance of managing village assets in the village government area as capital in village development. The data collection process requires an approach, coordination and supervision so that the data obtained can become valid data for the village government. The research results show that the data collection system implemented requires a work team that has been allocated data collection time as well as various village assets that must be included in the data collection. The village assets that must be recorded are village treasury land and existing village inventory items. Data collection is intended to obtain an overview of various village potentials which can be used as development planning based on community interests. Coordination during data collection is carried out in stages externally and internally to avoid conflicts with the community and also with villages bordering Mandiri Jaya village.

Signs, Sources, Coping Strategies, and Suggested Interventions for Burnout Among Preclerkship Students at a U.S. Medical School: A Qualitative Focus Group Study.

Research suggests that burnout can begin early in medical school, yet burnout among preclerkship students remains underexplored. This study aimed to characterize burnout signs, sources, coping strategies, and potential interventions among preclerkship students at one U.S. medical school. The authors conducted a qualitative study of preclerkship students at Mayo Clinic Alix School of Medicine (MCASOM) in June 2019. Participants completed 2 Maslach Burnout Inventory (MBI) items (measuring frequency of emotional exhaustion and depersonalization) and 2 free-text questions on burnout before participating in 1 of 3 semistructured focus groups. Focus group questions were derived from a literature review on medical student burnout with input from the MCASOM Student Life and Wellness Committee. Group discussions were recorded, transcribed, coded inductively, and analyzed iteratively (along with free-text comments) using a general inductive approach from a constructivist perspective. Eighteen of 111 eligible students (16%) participated, with 5/18 (28%) reporting weekly emotional exhaustion and/or depersonalization on MBI items. Analysis of focus group transcripts showed that most students had experienced burnout symptoms during their first or second year, corresponding with school-related stressors and manifesting in cognitive-emotional, physical, and verbal-behavioral ways. Students identified systemic, institutional, and individual burnout drivers and discussed how these drivers interacted (e.g., high standards of excellence at the system level interacted with anxiety and maladaptive thinking at the individual level, creating pressure to always do more). Students used various coping strategies (e.g., self-care, peer support, reframing, and compartmentalization) but emphasized limitations of these strategies and recommended interventions directed toward systemic and institutional burnout drivers. This study offers insights into burnout signs and sources among preclerkship medical students that can inform future large-scale studies. Results suggest that burnout emerges from dynamic interactions among systemic, institutional, and individual factors and may benefit from multipronged interventions.

PENGEMBANGAN APLIKASI LAYANAN BAGIAN UMUM (ALBUM 2.0) DALAM PENGELOLAAN BARANG MILIK NEGARA PADA DIREKTORAT JENDERAL HAK ASASI MANUSIA

This research aims to design the development of an information management system for State-Owned Goods (Barang Milik Negara) within government agencies as an effort to optimize internal supervision functions over the implementation of information systems and digitize the management process of State-Owned Goods. This research focuses on the Secretariat of the General Affairs Division of the Directorate General of Human Rights as the research object because the information system implemented by the General Affairs Division, namely the General Affairs Service Application (ALBUM), has problems based on the problem analysis and needs assessment conducted. This study uses Research and Development (R&amp;D) design with the ADDIE model. The development phase is limited to the Design stage, involving the creation of Data Flow Diagrams (DFD) and User Interface designs using CANVA and FIGMA as tools to assist in the design development process. Based on the analysis results, there is a need for information system development in the General Affairs Service Application (ALBUM) in the aspect of internal service. The internal services that can be developed include the Inventory Items feature by adding a display for additional requested items, and the second development is the addition of a loan feature for State-Owned Goods. The design development aligns with the problem analysis and the needs derived from the information obtained. It is expected that the development carried out will optimize the internal supervision function over the implementation of the General Affairs Service Application (ALBUM) information system and in every aspect of the State-Owned Goods management process

The role of sex and age in the differential efficacy of 10 Hz and intermittent theta-burst (iTBS) repetitive transcranial magnetic stimulation (rTMS) treatment of major depressive disorder (MDD)

BackgroundSex- and age-dependent outcome differences have been observed in treatment of Major Depressive Disorder (MDD), including 10 Hz repetitive Transcranial Magnetic Stimulation (rTMS). We examined whether there are sex- and age-dependent differences in outcome with intermittent Theta Burst Stimulation (iTBS), another rTMS protocol. MethodsThe relationship between biological sex, age, and treatment outcome was retrospectively examined among 414 patients with MDD treated with 10 Hz or iTBS rTMS. Linear mixed-effects modeling was used to examine the association between treatment and change in the 30-item Inventory of Depressive Symptomatology Self-Report (IDS-SR30) score from baseline to treatments 10 and 30, with biological sex (M/F), protocol (iTBS/10 Hz), age (≥/<50 years old), and time (treatment 1/10/30) included as fixed effects. The three-way sex-protocol-time and age-protocol-time interactions were used to determine any differential relationships between protocol and outcome dependent on sex and age. Post-hoc t-tests were conducted to examine differences in improvement. ResultsThere was a significant three-way sex-protocol-time interaction at treatments 10 (p = 0.016) and 30 (p = 0.031). Males showed significantly greater improvement with iTBS than females at treatments 10 (p = 0.041) and 30 (p = 0.035), while females showed numerically greater improvement with 10 Hz treatment. While there was not a significant three-way age-protocol-time interaction, there was a significant interaction between age (≥50 years old) and time at treatments 10 (p = 0.007) and 30 (p = 0.042), and among age, sex, and time at treatment 30 (p = 0.028). LimitationsRetrospective naturalistic treatment protocol. ConclusionsiTBS appeared less efficacious in females than in males, and rTMS overall was more efficacious in patients over fifty, particularly females.

Design of an Inventory Information System at ITSK Soepraoen Using the Waterfall Method

In the current digital era, the use of information technology has become an urgent need for various institutions, including educational institutions. ITSK Soepraoen has integrated information systems in several units to increase operational efficiency. However, inventory data collection is still done manually using Microsoft Excel, which has proven to be less efficient and often causes delays in data processing. This research aims to design a website-based inventory information system at ITSK Soepraoen using the Waterfall method. This system is expected to facilitate data collection and management of inventory items as well as increase accuracy, transparency and efficiency in data processing. The research method used is the Waterfall approach which consists of four stages: requirements definition, system and software design, implementation, and testing. The result of this research is a lo-fi mockup of an inventory system that is well received by users with an acceptance rate of 92.75%. This percentage is relatively high so it can be concluded that the user accepts the design that has been created and for the next stage this inventory system can be fully implemented.

Prevalence of social anxiety disorder and its associated factors among foreign-born undergraduate students in Türkiye: A cross-sectional study.

Social anxiety disorder (SAD) is prevalent among university students, yet data on its severity among foreign-born international undergraduate students in Türkiye remains limited. This study aims to determine the prevalence of SAD and its associated factors within this population. A cross-sectional study was conducted using a Google Form survey distributed across various universities from September 17, 2023, to February 1, 2024. The survey comprised two sections: sociodemographic information and 17 items of the Social Phobia Inventory (SPIN), which measures the frequency and intensity of social anxiety symptoms. Data analysis included descriptive statistics and inferential analysis, multiple regression, and binomial logistic regression. Out of 506 participants, 455 were included in the study. Results revealed that 39.1% exhibited no or very mild symptoms of SAD, while 23.7% experienced mild symptoms, 21.3% faced moderate symptoms, and 11.6% and 4.2% presented with severe to very severe symptoms, respectively. Factors such as gender (p < 0.0001), previous academic failures (p = 0.013), family history of mental health issues (p = 0.009), exercise frequency (p < 0.0001), and perceptions of relationships with classmates (p < 0.0001) were significantly associated with SAD. Females showed a higher probability of SAD compared to males (OR = 1.976). Individuals engaging in over 90 minutes of exercise per week were less likely to have SAD (OR = 0.383), and occasional smokers had a lower risk of SAD compared to non-smokers (OR = 0.422). Our study uncovered a notably elevated prevalence of Social Anxiety Disorder (SAD) among foreign-born undergraduate students in Türkiye. Factors such as being female, having a family history of mental illnesses, studying in a stressful environment, experiencing academic failure, and engaging in less frequent exercise were associated with noticeable symptoms of SAD. These findings emphasize the urgent need for heightened efforts in recognizing and addressing SAD within this population.

Tackling inventory losses of small accessories in engineering manufacturing: a case study of Euro Manufacturing

Learning outcomes After completion of the case study, the students will be able to understand ABC analysis and develop a systematic approach using PDCA, analyze processes, technology, employee training and supplier relationships when analyzing shrink and developing solutions, evaluate how technology improves production inventory control and visibility and recognize the importance of fostering a culture of employee accountability and ownership to minimize inventory loss and improve overall operational efficiency. Case overview/synopsis On June 2, 2023, sitting in his office in Karachi, Pakistan, Khan Aamir, the manager of store and inventory at Euro Manufacturing, found himself immersed in a cloud of confusion. The incessant loss of inventory items, particularly the nut bolts and small accessories, had become a perplexing challenge. To address these losses and provide a cycle count report to the director of supply chain, Aamir, manager of store and inventory, was given the responsibility to take action. He was looking for a comprehensive approach to address the current problems and prevent further losses in the future. This case study examines the various reasons for the losses, including theft, inadequate inventory control methods, human error and problems with suppliers. It highlights the importance of established procedures, the use of technology (such as barcode scanning, radio-frequency identification tagging and inventory management software) and the cultivation of a culture of accountability among employees. Complexity academic level This case study is developed for class discussion in the course of operations management or supply chain management. This case study is suitable for use with undergrad students. This case study can be taught in a module on operations management or supply chain management, as part of a broader course in business management or industrial engineering. Supplementary materials Teaching notes are available for educators only. Subject code CSS: 9: Operations and logistics.

Neutrosophic Inventory Management: A Cost-Effective Approach

Abstract Classical inventory models (IM) serve as quantitative tools for determining the optimal order quantities, timing of orders, and safety stock levels for specific inventory items or item groups. Zadeh (1965. Fuzzy sets. Information and Control, 8, 338–353) introduced fuzzy theory and Dubois and Parade (1988. Fuzzy logic in expert systems: The role of uncertainty management. Fuzzy Sets and Systems, 28, 3–17) presented the study of fuzzy inventory model, which, however, exhibits limitations in effectively handling uncertainty, inaccuracies, and imprecise data. In 1999, Smarandache presented the idea of neutrosophic set theory to handle uncertainty. Using trapezoidal neutrosophic numbers, this study extends the idea of neutrosophic sets to inventory management, concentrating on resolving the uncertainty associated with holding costs, ordering costs, and shortage costs. First time within the literature of the neutrosophic set, our new method not only addresses existing problems but can also tackle other issues that no other authors have successfully resolved so far. Additionally, we conduct a comparative analysis of our proposed model against existing models in this article. Based on this comparative study, our findings assert the superior performance of our proposed model in relation to some of the existing models. In conclusion, we wrap up our research by presenting graphical, logical, and tabular comparisons with the existing methods.