bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENENTUAN KADAR RESIDU PESTISIDA KLORPIRIFOS DAN PENGARUH PENCUCIAN PADA CABAI, BUNCIS DAN SAWI PUTIH SERTA NILAI RISIKO KESEHATAN PADA MANUSIA
Authors: Zilfa  , Yusuf Yulizar , Putri Mitha Anggreini , Heysha Fheiza 
Published: October 2024

Sayuran merupakan bahan pangan yang digemari masyarakat untuk dikonsumsi karena banyak mengandung nutrisi. Cabai (Capsicum annuum L.), buncis (Phaseolus vulgaris L), sawi putih (Brassica pekinensia L) termasuk sayuran yang dapat diolah menjadi berbagai olahan sayuran yang lezat maupun dimakan sebagai lalapan. Untuk memperoleh tanaman sayuran yang subur diperlukan pestisida untuk membasmi hama yang dapat merusak sayuran. Salah satu pestisida yang banyak digunakan yaitu klorpirifos yang dapat meninggalkan residu sehingga menyebabkan risiko akut dan kronis pada kesehatan, oleh sebab itu perlu dilakukan analisis mengenai kadar residu pestisida klorpirifos pada sayuran. Kadar residu pestisida klorpirifos ditentukan menggunakan spektrofotometer UV-Vis dengan panjang gelombang 230 nm menggunakan pelarut diklorometana dan analisis kualitatif menggunakan HPLC dengan membandingkan waktu retensi larutan standar dan sampel sayuran. Pada penelitian ini dilakukan pencucian pada sayuran menggunakan diklorometana, akuades, air sumur dan air PDAM untuk melihat pengaruh pencucian terhadap kadar residu pestisida yang terkandung. Konsentrasi residu pestisida pada sayuran yang tidak dicuci yaitu cabai (2,6680±0,0214 mg/kg), buncis (2,4658±0,0193 mg/kg), dan sawi putih (2,7950±0,0379 mg/kg). Proses pencucian pada sayuran dilakukan tiga kali untuk masing-masing pelarut. Pencucian tiga kali menggunakan diklorometana dan akuades, didapatkan bahwa residu pestisida sudah tidak terdeteksi, sedangkan pencucian menggunakan air PDAM dan air sumur masih menyisakan residu pada sayuran tetapi kadarnya sangat kecil dibandingkan nilai Batas Maksimum Residu (BMR). Pada perhitungan nilai resiko kesehatan diperoleh nilai aHQ dan cHQ <1 yang menunjukkan bahwa konsumsi batas yang dianjurkan dari sampel penelitian ini tidak menimbulkan risiko kesehatan baik jangka pendek maupun jangka panjang.. Penelitian ini memberikan informasi bahwa perlu pencucian berulang kali untuk menghilangkan kadar residu pestisida pada sayuran sebelum dikonsumsi.
КОРПОРАТИВНА СОЦІАЛЬНА ВІДПОВІДАЛЬНІСТЬ БІЗНЕСУ В УКРАЇНІ В УМОВАХ ВІЙНИ
Authors: МОРОЗ Сергій , МЕЙШ Алла , ЛЕВЧЕНКО Софія 
Published: October 2024

Corporate social responsibility is a strategic concept that defines the obligations of enterprises to contribute to the humanitarian development of society and the natural environment. In Ukraine, enterprises consider social responsibility as an integral part of business culture, it has undergone significant changes since the beginning of the war with russia. The annexation of Crimea in 2014 and the russian invasion of Ukraine on February 24, 2022 caused a deep humanitarian crisis and growing socio-economic challenges. In this regard, Ukrainian companies are forced to reconsider their approaches to corporate social responsibility. Many entrepreneurs and businesses have redirected their efforts to providing humanitarian aid and resources to affected areas and refugees. This led to an increase in their influence on improving the state of social security and a decrease in the impact of military events on the local population.
Ukrainian companies also paid more attention to the environmental aspect of corporate social responsibility, as military actions led to the deterioration of the environment and threats to people's health. Enterprises intensified their participation in projects for ecological restoration and development of renewable energy, cleaning of contaminated lands, demining of territories, restoration of chemical production facilities and oil product storage bases.
The growing interest in corporate social responsibility has also led to greater transparency in the activities of enterprises and the desire to create trust among consumers. Many companies have begun to actively publish reports on their social and environmental achievements, disclosing information about their activities and the extent of their impact on society and the environment.
In general, the war with russia caused a rethinking of approaches to corporate social responsibility in Ukraine, forcing companies to place greater emphasis on the humanitarian aspect and environmental responsibility. These changes contributed to improving the quality of life of the population, became more environmentally oriented, and also contributed to increasing trust between companies and society.
ЕВОЛЮЦІЯ МОДЕЛІ РИНКОВОЇ ЕКОНОМІКИ УКРАЇНИ В СУЧАСНИХ УМОВАХ
Authors: КОВАЛЬ Олександр , МІХНО Ігор 
Published: October 2024

The article describes concept of market economy model, process of a national market economy model formation and theoretical direction of this process. Market economy liberal model theoretical problems are highlighted, namely, an uncertainty of market self-regulation and its theoretical underdevelopment. Social inequality is characterised as a sign of economy liberal model. Distribution of incomes both in the world and in Ukraine are analised.
A market economy model evolution under influence of global historical events is highlighted. The libertarian model of the economy is presented, change in the economic model under the influence of the spread of Covid-19, the activation of certain actions of small and medium-sized businesses is characterised. Changes in the economic model under the influence of Russia's military invasion are identified, negative factors that had an impact are listed, and international aid for Ukraine's economy is described.
Competition, as the central thesis of liberal economic policy, cannot fully fulfill tasks of economic system of society. Favorite variations of the "invisible hand of the market" of Adam Smith's time need revision. Therefore, it can be concluded that the liberal model of economy is characterised by social inequality, and its use can be revised in the direction of alternative, more optimal, models.
Chain of Ideas: Revolutionizing Research via Novel Idea Development with LLM Agents
Authors: Long Li 
Published: October 2024

Effective research ideation is a critical step for scientific research. However, the exponential increase in scientific literature makes it challenging for researchers to stay current with recent advances and identify meaningful research directions. Recent developments in large language models (LLMs) suggest a promising avenue for automating the generation of novel research ideas. However, existing methods for idea generation either trivially prompt LLMs or directly expose LLMs to extensive literature without indicating useful information. Inspired by the research process of human researchers, we propose a Chain-of-Ideas (CoI) agent, an LLM-based agent that organizes relevant literature in a chain structure to effectively mirror the progressive development in a research domain. This organization facilitates LLMs to capture the current advancements in research, thereby enhancing their ideation capabilities. Furthermore, we propose Idea Arena, an evaluation protocol that can comprehensively evaluate idea generation methods from different perspectives, aligning closely with the preferences of human researchers. Experimental results indicate that the CoI agent consistently outperforms other methods and shows comparable quality as humans in research idea generation. Moreover, our CoI agent is budget-friendly, with a minimum cost of $0.50 to generate a candidate idea and its corresponding experimental design1.
AERO: Softmax-Only LLMs for Efficient Private Inference
Authors: Jha Nandan Kumar , Reagen Brandon 
Published: October 2024

The pervasiveness of proprietary language models has raised privacy concerns for users’ sensitive data, emphasizing the need for private inference (PI), where inference is performed directly on encrypted inputs. However, current PI methods face prohibitively higher communication and latency overheads, primarily due to nonlinear operations. In this paper, we present a comprehensive analysis to understand the role of nonlinearities in transformer-based decoder-only language models. We introduce AERO, a four-step architectural optimization framework that refines the existing LLM architecture for efficient PI by systematically removing nonlinearities such as LayerNorm and GELU and reducing FLOPs counts. For the first time, we propose a Softmax-only architecture with significantly fewer FLOPs tailored for efficient PI. Furthermore, we devise a novel entropy regularization technique to improve the performance of Softmax-only models. AERO achieves up to 4.23\(\times\) communication and 1.94\(\times\) latency reduction. We validate the effectiveness of AERO by benchmarking it against the state-of-the-art.
Making Spaces for Girls
Authors: Walker Susannah 
Published: October 2024

The paper explores the exclusion of teenage girls from public spaces, particularly parks and recreation grounds. It reveals the multiple challenges faced by teenage girls in accessing and utilising these spaces and the impact this has on their well-being and sense of inclusion in the community.The fundamental problem is that parks are not designed with the needs of teenage girls in mind. Facilities intended for teenagers, such as skate parks, Multi-Use Games Areas (MUGAs), and BMX tracks, predominantly cater to the interests of boys, contributing to inequality of opportunities. Moreover, the design and dominance of these facilities by boys can further discourage girls from participating in outdoor activities, impacting their physical health and mental well-being. Consequently, teenage girls perceive public spaces as unwelcoming and unsuitable for their use.Safety emerges as a critical concern, with teenage girls reporting feeling unsafe in public spaces due to various factors, including sexual harassment. The paper highlights the broader definition of safety for girls, encompassing not only physical security but also the sense of welcome and acceptance in a space. This is important not just because girls have a right to public space. The barriers they face also impact their physical and mental well-being to a significant degree. Drawing attention to the intersectionality of these challenges, the paper advocates for the active engagement of teenage girls in the design process, recognizing their diverse perspectives and needs.While the paper identifies emerging principles for effective engagement with teenage girls, it calls for further research and larger-scale practical projects and a need to evaluate the impact of inclusive design on the ground. Ultimately, the research contributes to a growing discourse on gender-inclusive urban planning, advocating for a paradigm shift that prioritises the needs and voices of teenage girls in shaping public spaces.
Beyond the Bullet Proof Vest: Untold Stories of Philippine National Police Special Action Force (PNP SAF) Commandos
Authors: ELGARIO PETER JUN 
Published: October 2024

The ever-changing demographics of society, the rise in terrorism and its complexity, as well as agitations, violent protests, a variety of political activities, left-wing terrorism, insurgency, and militancy, as well as the enforcement of economic and social laws, have all contributed to the difficulty of achieving the peaceful society that we all desire. This study explored the lived experiences of Philippine National Police-Special Action Force (PNP-SAF) Commandos in Negros Island, Philippines through a qualitative research method. The participants of this study were the selected ten (10) PNP-SAF commandos. Four (4) participants were subjected to individual in-depth interviews, while the other six (6) participants were subjected to a focus group discussion. The findings of this study are described in emergent themes. Six (6) emergent themes described the positive and negative experiences of the participants in the implementation of counterterrorism programs. For the positive experiences, three (3) emergent themes were developed, namely: Personal Satisfaction and Job Fulfillment, Recognition from the Community, and Influence on Community Peace and Order. For the negative experiences, three (3) emergent themes were also developed, namely: Financial Constraints and Limited Resources, Familial Longings while on Mission, and Infiltration in Hotspot Areas. Meanwhile, two (2) emergent themes were formulated to explain how the participants address the challenges encountered in the implementation of counterterrorism programs, namely Coordination and Collaboration with Other Agencies and Community Engagement and Trust-Building Programs. Finally, two (2) emergent themes were created to express the aspirations of the participants to improve the implementation of counterterrorism programs, namely Continuous Training and Skills Development and Adequate Financial and Logistical Support. Based on the emergent themes identified, it is recommended that the PNP-SAF commandos be exposed to continuous training and ongoing collaboration between agencies and partners to ensure an efficient response to counterterrorism and counterinsurgency incidents. By allocating an appropriate budget and implementing the requisite enhancement training and programs, the SAF commandos may be able to increase their effectiveness in implementing these initiatives.
Spectral Subtraction Based Weighted Function for Pitch Extraction in Noisy Speech
Authors: Miss. Nargis Parvin  , Jafrin Akter Jeba  , Mousumi Hasan  , Umma Sadia Tabassum EVA  , Md. Saifur Rahman  
Published: October 2024

Many speech-related works employ the pitch period as a crucial component. Speech signals are typically collected in challenging noisy settings for real-world projects. Therefore, it is now more important than ever for the algorithm to be noise resistant in order to estimate pitch accurately. However, when dealing with noisy speech files at a low signal-to-noise ratio (SNR) value, many state-of-the-art algorithms are unable to produce satisfactory results. In this work, a new noise-resistant pitch estimation algorithm based on spectral subtraction is presented, which uses a weighted function to lessen the impact of the vocal tract effect. Furthermore, to enhance the correlation between the pitch estimates and smoothen the pitch contours, we employ a weighted function that combines the spectral subtraction-based technique as the numerator and the circular average magnitude difference function (CAMDF) as the denominator. We have utilized two noisy speech databases using seven different kinds of recorded ambient noise, and we evaluated our system against three cutting-edge methods. The suggested method lowers the Gross Pitch Error (GPE) rate at practically all SNRs in white noise and performs best on the NTT and KEELE databases.
Implementation of PWA in Scholarship Application Using Microservices Architecture for Enhancing User Engagement
Authors: Andriati Asri Sri , Caturbawa I Gusti Ngurah Bagus , Prihatini Putu Manik , Rasmini Ni Wayan , Adi Nugroho Made Riyan , Rudiastari Elina , Setiawan Widyadi 
Published: October 2024

The shortage of traditional web development makes researchers turn to web development using Progressive Web App (PWA) in developing a web, which has been increasingly done. PWA has the ability to function even with a low internet connection, maintain interactive user and access speeds, and provide real-time notifications. In modern web development, where the demand for data, features, and users can increase rapidly, an architecture is required to handle this problem. Microservices architecture can answer this. This research will develop a scholarship application using PWA and microservices architecture. The scholarship application was developed using Veu.js for the front end of the client application, MySQL for the application database, and the SLIM framework for microservices implementation. Furthermore, we utilized RAbbitMQ to develop a message broker and Docker for microservices contaner. The scholarship application developed using PWA technology and microservices in this research has been tested by conducting a User Acceptance Test. The results are the implementation of PWA in the scholarship application using microservice architecture has worked well, and the application performance has been able to overcome problems in terms of scalability, speed, and reliability.
AN EXPLORATION OF ANTIMULTIGROUP EXTENSIONS
Authors: Peter Chinedu , Balogun Funmilola , Adeyemi Omotosho Adewumi 
Published: October 2024

This research paper pioneers an innovative extensions of antimultigroup theory by seemingly integrating the concept of cuts and comultiset, thereby revolutionizing the field. Notably, we demonstrate that the root sets of antimultigroup sums and differences are subgroups, uncovering a profound connection. Furthermore, we establish that if is a complete sub-antimultigroup of such that all the counts in are factors of their corresponding counts in . Finally, we prove that the cuts of antimultigroup unions and intersections also form subgroups, further enriching our understanding of these complex structures.
The ANTIOXIDANT AND PHYTOCHEMICAL ANALYSIS OF METHANOL EXTRACT OF PHYLLANTHUS AMARUS
Authors: Onyeukwu Onyeka Benjamin , Njideaka Ogochukwu Tracy , Dibie Dumebi Chibuzor 
Published: October 2024

Phyllanthus amarus is a widely recognized plant that has been traditionally utilized to cure a variety of ailments. The current study explored the phytochemical and antioxidant characteristics of P. amarus methanol extract. Standard procedures were used to analyze: 1, 1-diphenyl-2-picryl-hydrazyl (DPPH) percentage (%) inhibition, lipid peroxidation % inhibition, total phenolic content (TPC) and total flavonoid content (TFC). A higher quantity of the plant extract resulted in a greater inhibition of DPPH and lipid peroxidation percentage. The highest DPPH % inhibition (74.4%) and lipid peroxidation % inhibition (83.44%) were at 0.05 mg/ml while the lowest DPPH % inhibition (25.23%) and lipid peroxidation % inhibition (39.11%) was at 0.03 mg/ml (p < 0.05). The most prevalent compound was flavonoid, with a TFC of 460.22 µg/ml while the TPC was 7.428 µg/ml. Owing to its antioxidant and phytochemical qualities, P. amarus methanol extract may potentially find application in medicine.
Association Between Rapid Urease Test For H. Pylori Incidence And Non-Ulcer Dyspepsia In Bangladeshi Patients
Authors: Datta Ponkaj , Das Partha Pratim , Datta Anindita , Hossain Mohammad Murad , Rahman Motlabur 
Published: October 2024

Introduction: Dyspepsia is a fairly common group of symptoms including epigastric pain, epigastric burning, postprandial fullness, early satiation, bloating in the upper abdomen, nausea, vomiting and belching. Interestingly the majority of them are found to have no ulcer, and they are termed as non-ulcer dyspepsia (NUD). However. Different studies worldwide have found there is an association between H. Pylori infection and NUD.
Objective: To evaluate the infection rates of H. pylori in patients, presenting with dyspepsia without any evidence of ulcer on endoscopy.
Materials and methods: This cross-sectional study was conducted from June, 2022 to December, 2022. The study included 100 patients (46 males and 54 females) with NUD and recruited by convenient sampling method.
Result: In the study, the prevalence of H. pylori infection in patients with NUD is 53% on the basis of (Rapid urease test) RUT. Gender-based prevalence was found to be 53.7% and 52.17% for women and men, respectively. The highest prevalence rate was found in the age group of 25-34 years. The prevalence of H. pylori infection was slightly higher for urban people.
Conclusion: H.Pylori infection can be easily identified by RUT. The study has found significant correlation of H. pylori infection with NUD by using RUT.
J Dhaka Med Coll. 2023; 32(1) : 4-8
Outcome of Endometriosis Treatment In Infertile Patients In A Tertiary Level Hospital
Authors: Rahman Florida , Sultana Nilufar , Rahman Fatema , Paul Ratna , Salma Umma , Yeasmin Farida , Jesmin Nafisa 
Published: October 2024

Introduction: Prevalence of endometriosis is 6-10% in reproductive-age females. Around 25-35% of infertile women may be affected by endometriosis. Modalities of treatment for infertile patients depends on the stage of the disease. It starts from ovulation inducing drug to advanced ART. The objective of this study was to assess the outcome of surgical treatment in infertile, endometriosis patients.
Materials and Methods: It was an observational study, which was conducted at Reproductive Endocrinology and infertility Unit, Dhaka Medical College. Total 144 patients were included during July 2018 to July 2021, aged 20-40 yrs. All the demographic variables, clinical and sonographic findings, and hormonal assessment were done. Then, staging was done by clinical pelvic assessment, and ultrasonographic findings. Patients who had ovarian endometrioma, more than 4 cm, were selected for laparoscopic surgery. In patients whose endometrioma was less than 4 cm, or had no ovarian endometrioma, were selected for ovulation induction with or without prior GnRH agonist therapy. Further infertility management were planned according to ovarian reserve, tubal patency, and male factor.
Result: Mean age of the patients were 28.30±4.95 yrs. 75.0% patients had primary infertility. Dysmenorrhea was the most common symptom (86.96%), followed by chronic pelvic pain (81.16%). Bilaterality of endometrioma was associated with decreased serum AMH.
Laparoscopic surgery was the mainstay of treatment, Cystectomy was done in 58% patients. Conservative treatment was done in remaining patients. Fertility enhancing treatment was done by ovulation inducing drug -letrozole, GnRH agonist, followed by controlled ovarian stimulation and followed by IUI. IVF was advised for fertility management in 26patients (18.06%).
Conclusion: Endometriosis is not only associated with decreased ovarian reserve but also responsible for diminished response to ovarian stimulation. So, it is a great challenge to obtain successful fertility treatment for this group of patients.
J Dhaka Med Coll. 2023; 32(1) : 9-15