bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Kompetensi dan Motivasi Terhadap Kepuasan Kerja Karyawan Selama Masa Pandemi Covid-19 di PT. Kao Indonesia
Authors: Masruchiyah Nieke , Ratnasih Cicih , Gumay Olivia Augesthania Putri 
Published: June 2024

PT KAO Indonesia adalah perusahaan multinasional yang bergerak di bidang manufaktur dan distribusi produk konsumsi yang secara garis besar dikelompokkan dalam 3 kategori sebagai berikut: Health & Beauty, Hygiene & Living dan Baby Diapers. Penelitian ini menggunakan pendekatan kuantitatif dan metode penelitian yang datanya berupa angka dan digunakan untuk mengukur sebuah subjek atau objek penelitian. Penelitian ini dimaksudkan untuk menjelaskan pengaruh kompetensi dan motivasi terhadap kepuasan kerja yang berdampak pada kinerja selama masa pandemi covid-19. Hasil penelitian dari analisis pengaruh langsung maupun tidak langsung pada variabel kompetensi dan motivasi terhadap kepuasan kerja yang berdampak pada kinerja selama masa pandemi covid-19 di PT. KAO Indonesia maka dapat disimpulkan yaitu sebagai berikut : 1. Pada variabel penelitian kompetensi dan motivasi dalam mempengaruhi kinerja dinyatakan bahwa signifikan dengan nilai 0,000 dalam uji simultan F dikatakan dapat mempengaruhi. 2. Variabel Kompetensi memiliki pengaruh positif terhadap kepuasan kerja hal ini dibuktikan dengan tingkat signifikansi dengan nilai 0,000 dan nilai koefisien regresi sebesar 0,367. Hal ini membuktikan bahwa hipotesis pertama diterima. 3. Variabel Motivasi memiliki pengaruh positif terhadap kepuasan kerja hal ini dibuktikan dengan tingkat signifikansi dengan nilai 0,000 dan nilai koefisien regresi sebesar 0,401. Hal ini menunjukkan bahwa hipotesis kedua diterima.
Pengelolaan Limbah Organik Rumah Tangga Menjadi Pupuk Organik untuk Peningkatan Fungsi Pekarangan Sebagai Penghasil Bahan Pangan Keluarga di Kecamatan Tamansari Kota Tasikmalaya
Authors: Nuryati Rina , Priyadi Rudi , Faqihuddin Faqihuddin , Permata Bunda Cici Aulia , Juhaeni Ade Hilman 
Published: June 2024

The amount of waste in Tasikmalaya City that can be transported to the Ciangir Final Disposal Site is only around 61 percent. Households can play a role in supporting reducing rubbish or waste by processing it into useful items, including processing organic waste into organic fertilizer. However, making organic fertilizer must be in accordance with the recommended procedures so that it does not have a negative effect on plants, so it is necessary to carry out Community Service. Regarding the management of household organic waste into organic fertilizer to improve the function of the yard as a family food producer. Teh Community service was implemented using counseling and training methods from May to November 2023 for the Women's Farmer Group, namely Kusari and Sauyunan located in Cigintung, Sumelap Village, Tamansari District, as well as women from the Dharma Wanita Association at Siliwangi University, Tasikmalaya. From the results of the activities, it can be concluded that household waste that is managed well will provide economic, social and environmental benefits and vice versa. Well-managed organic household waste will become organic fertilizer which can be applied to plant cultivation in the yard so that the yard is more productive as a provider of family food while providing social and ecological benefits.

Abstrak
Sampah di Kota Tasikmalaya yang dapat diangkut ke Tempat Pembuangan Akhir (TPA) Ciangir baru sekitar 61 persen. Rumah tangga dapat berperan dalam mendukung mengurangi sampah atau limbah dengan mengolahnya menjadi barang yang bermanfaat diantaranya mengolah limbah organik menjadi pupuk organik.. Namun pembuatan pupuk organik harus sesuai dengan prosedur yang disarankan agar tidak berpengaruh negatif terhadap tanaman maka perlu dilakukan Pengabdian kepada Masyarakat (PkM) tentang pengelolaan limbah organik rumah tangga menjadi pupuk organik untuk peningkatan fungsi pekarangan sebagai penghasil pangan keluarga. PkM dilaksanakan menggunakan metode penyuluhan dan pelatihan dari bulan Mei sampai November 2023 terhadap Kelompok Wanita Tani (KWT) yaitu KWT Kusari dan Sauyunan yang berlokasi di Kampung Cigintung Kelurahan Sumelap Kecamatan Tamansari serta ibu-ibu Dharma Wanita Persatuan (DWP) Universitas Siliwangi Tasikmalaya. Dari hasil kegiatan PkM dapat disimpulkan bahwa limbah rumah tangga yang dikelola dengan baik akan memberikan manfaat ekonomis, sosial dan lingkungan serta sebaliknya. Limbah rumah tangga organik yang terkelola dengan baik akan menjadi pupuk organik yang dapat diaplikasikan pada budidaya tanaman di pekarangan sehingga pekarangan lebih produktif sebagai penyedia bahan pangan keluarga sekaligus memberikan manfaat sosial dan ekologi.
WITHDRAWN: Novel hydro-alcoholic sanitizer model with minimum alcohol content and fortified with eugenol and cinnamaldehyde as natural antimicrobial boosters
Authors: Shaaban Hamdy A. , Abdelhamid Samy M. , Edris Amr 
Published: June 2024

Abstract

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Intratumoral Fc-optimized agonistic CD40 antibody induces tumor rejection and systemic antitumor immunity in patients with metastatic cancer
Authors: Osorio Juan , Knorr David , Weitzenfeld Polina , Yao Ning , Baez Maria , DiLillo Meghan , Rahman Jahan , Bromberg Jacqueline , Postow Michael , Ariyan Charlotte , Robson Mark , Ravetch Jeffrey 
Published: June 2024

Abstract

While CD40 agonism is an attractive approach for activating antigen-presenting cells and initiating antitumor responses, previous attempts have encountered limited clinical efficacy coupled with toxicity. We previously demonstrated that interactions between the antibody Fc domain and the inhibitory receptor FcγRIIB are critical for enhanced antitumor activity. Here, we present the results of a phase 1 study on intratumoral administration of an anti-CD40 agonistic antibody (2141-V11) Fc-engineered to enhance FcγRIIB binding. Primary endpoints included safety, maximum tolerated dose (MTD), and recommended phase 2 dose. Secondary objectives included preliminary clinical activity and correlative studies from biospecimens. 2141-V11 was well-tolerated without dose-limiting toxicities and MTD was not reached. In ten evaluable patients with metastatic cancer, the overall response rate was 20%, with complete responses in two patients (melanoma and breast carcinoma) and stable disease in six patients. 2141-V11 induced tumor regression in injected and non-injected lesions, with increased leukocyte infiltration and tertiary lymphoid structures (TLS) formation in post-treatment biopsies. In a humanized mouse model for CD40 and FcγRs, 2141-V11 induced TLS formation in mice bearing orthotopic breast carcinoma, correlating with local and abscopal antitumor effects, systemic immune activation, and immune memory. These findings support the safety and efficacy of 2141-V11, warranting phase 2 studies and suggesting a unique mechanism of action for this Fc-enhanced immunotherapy (NCT04059588).
An Information-Centric Approach to Enhance Network Lifetime in Water Quality Monitoring WSNs
Authors: Abdolabadi Hamid 
Published: June 2024

Abstract

In water quality monitoring networks, efficient sensor operation and network lifetime are crucial for timely and accurate data collection. Existing models often focus on minimizing overall network energy consumption and typically treat all sensors equally, making no distinction based on the information value of the data collected. This may lead to the unnecessary transmission of redundant data from low-value sensors. This research proposes a novel information-centric algorithm specifically designed for Wireless Sensor Networks (WSNs) deployed in such applications. The algorithm leverages information theory and Minimum Redundancy, Maximum Information (MIRI) principles to identify and prioritize data from sensors with high information value. The new algorithm integrates an energy-efficient consumption model with a strategic Cluster Heads selection approach. This approach prioritizes keeping sensors with high information content alive within clusters, further minimizing total energy consumption. By strategically selecting sensors and reducing redundant data collection, the proposed algorithm achieves a higher average residual energy compared to the existing model. This indicates more efficient energy utilization and potentially longer individual sensor lifetimes. These results demonstrate the effectiveness of the information value-centric approach in optimizing WSN performance. The algorithm extends network lifetime and paves the way for further exploration of information-centric techniques for enhancing WSN efficiency and longevity.
Multi-task Multi-modal Graph Neural Network for Recommender System
Authors: Jiao Shengzhe , Zhang Yihong , Hara Takahiro 
Published: June 2024

Abstract

With the explosive growth of online information, users may also face information overload. To handle this problem, recommender systems have become an effective strategy, which can analyze the characters of users and items to provide valuable information. One of the important types of information is the item’s side information. For example, in Amazon dataset, side information mainly includes visual side information (e.g., image and video), textual side information (e.g., title and description), and auxiliary side information (e.g., brand and category). To analyze various types of side information, some research designed multiple modalities for different types of side information, which can improve the performance of the recommender system. To analyze the deeper relationships between users and items, recent works also use a graph structure to represent the interactions. Existing works on multi-modal recommender systems using graph neural networks largely depend on the interaction records, while little effort focuses on the relationships between interactions and various types of side information. In this paper, we propose a novel multi-task learning model. First, we construct the interaction records to graphs for each modality to gather the representations, and then we analyze the representations of each modality and the specific side information based on the similarities. We design a Multi-task Multi-modal Graph Neural Network (MTMM-GNN) framework built upon message-passing with the attention mechanism of graph neural networks, which can generate the representations of users and items from interaction records, and then analyze the relationships between the representations from GNNs and item’s side information. We conduct experiments on two public datasets, Amazon and MovieLens, and the results of our model outperform the state-of-the-art methods.
Impact of ISPD Guidelines and the COVID-19 Pandemic on Peritoneal Dialysis Peritonitis Rates: A Retrospective Cohort Study
Authors: Aarabi Amirhossein , Karthik Kumar 
Published: June 2024

Abstract

This retrospective cohort study investigates the impact of prophylactic measures on Peritoneal Dialysis (PD) related peritonitis, with a particular focus on contrasting periods before and after the onset of the COVID-19 pandemic.1 The research entailed an analysis of patient data over several years, centred on the implementation of the International Society for Peritoneal Dialysis (ISPD) guidelines.2 Methodologically, the study contrasts PD peritonitis rates, types of causative organisms, peritonitis-related hospitalization frequencies, and mortality rates before and after the reinforcement of ISPD guidelines. The results revealed a notable decrease in the overall incidence of PD peritonitis post-implementation of these guidelines. However, the COVID-19 pandemic period showed a temporary reversal of this trend, with an increase in peritonitis rates, likely due to disrupted healthcare services and altered patient behaviours during the pandemic.3 Furthermore, our analysis highlighted a shift in the microbiological profile of peritonitis-causing organisms in the post-pandemic period. The study's findings illuminate the dynamic nature of PD peritonitis management in response to major healthcare interventions and global health crises. The decreased peritonitis rates post-ISPD guidelines underscore their effectiveness, while the pandemic's impact reveals vulnerabilities in healthcare delivery during crises. These insights are pivotal for shaping future PD management strategies and enhancing patient care in both standard and challenging healthcare environments.
SRFE: A Stepwise Recursive Feature EliminationApproach for Network Intrusion Detection Systems
Authors: Qasem Abdelaziz Alshaikh , Qutqut Mahmoud H. , Alhaj Fatima , Kitana Asem 
Published: June 2024

Abstract

Network intrusion detection systems (NIDS) have evolved into a significant subject in cybersecurity research mainly due to the growth of cyberattacks and intelligence, which also led to using machine learning (ML) to advance and enhance NIDSs. A NIDS is the first line of defense in any environment, and it detects external and internal attacks. Recently, intrusion mechanisms have become more sophisticated and challenging to detect. Researchers have applied techniques such as ML to detect intruders and secure networks. This paper proposes a novel approach called SRFE (stepwise recursive feature elimination) to improve the performance and efficiency of predictive models for NIDSs. Our approach depends primarily on recursive feature elimination, which operates on a simple yet effective principle. We experimented with four classification algorithms, namely Support Vector Machine (SVM), Naive Bayes (NB), J48, and Random Forest (RF), on the most widely used dataset in the cybersecurity domain (NSL-KDD). The approach is mainly built on the features' significance ranking using the Information Gain (IG) method. We conduct multiple experiments according to three scenarios. Each scenario contains various rounds, and in each round, we train the classifiers to eliminate the three lowest-ranked features stepwise. Our experiments show that the RF and J48 classifiers outperform other binary classifiers with an accuracy of 99.80% and 99.66%, respectively. Furthermore, both classifiers obtained the best results in the multiclass classification task; J48 achieved an accuracy of 99.53% in round number seven, and the RF achieved 99.69% in the fifth round.
Tuning of the Band Gap and Suppression of Metallic phase by Ca doping in La1-xCaxMnO3 Manganite Nano-particles
Authors: Ali Liaqat , Shah Wiqar Hussain , Khan Shayan , Ali Akhtar , Hessien Mahmoud M. , El-Bahy Zeinhom M. 
Published: June 2024

Abstract

Polycrystalline compounds of lanthanum calcium manganite La1-xCaxMnO3, (LCMO) are extensively utilized in energy conversion systems because of their low losses and features related to the transfer of electric charges. This work aimed to examine the impact of different levels of Ca 2+ replacements (x = 0.1, 0.2, and 0.3) on the adjustment of the optical band gap and dielectric losses in La1-xCaxMnO3 nanoparticles. The synthesized samples underwent structural analysis using X-ray diffraction. All generated samples were proven to have an orthorhombic R 3 ̅ c crystal structure. The estimated crystallite size ranged from 25 nm to 32 nm, and other lattice characteristics were also determined. An agglomerated spherical form consisting of nanoparticles with a range of (33-46 nm) can be seen in the scanning electron micrographs of all of the LCMO samples. The nanoparticles had a moderate size distribution and were influenced by narrower grain boundaries. Energy-dispersive X-ray spectroscopy was utilized to verify the elemental makeup of each chemical, while the infrared spectrum revealed bonding in the fingerprint region. A considerable decrease in the optical band gap was detected through the analysis of UV spectrometer absorption data. The band gap exhibited a reduction from 3.95 eV to 3.74 eV. The decrease was determined to be associated with the disparity in refractive index, which was computed using both Moss and Herve-Vandamme equations. Simultaneously, frequency-dependent dielectric study indicated a direct correlation between frequency and the rise in Ca concentration, resulting in an inverse impact on dielectric loss. In addition, the electrical conductivity of these nano-system that were created design as the Ca content grew. This increase was represented by Johnscher's universal power law in the high frequency range.
Tool wear state prediction based on GAF-MTF-AlexNet
Authors: Yu Haiyue , Yang Ruiqi , Liu Haonan , Du Wei , Zhang Junqiu , Han Zhiwu 
Published: June 2024

Abstract

The manufacturing sector commonly employs traditional systems for predicting tool wear states, which rely on one-dimensional numerical inputs, in order to mitigate the issues of escalating costs and reduced efficiency that stem from excessive tool wear. However, these models face drawbacks such as high computational demands and limited generalization capabilities. To overcome these challenges, this study introduces a novel method for predicting tool wear states, which leverages the Gramian Angular Field-Markov Transition Field-AlexNet (GAF-MTF-AlexNet) architecture. Initially, the vibration signal's envelope spectrum is mapped into a two-dimensional image through the application of the GAF and the MTF transformations. Subsequently, the generated image is horizontally stitched to form a comprehensive dataset. The dataset is then fed into the customised AlexNet model for the purpose of prediction. Following meticulous research and optimisation, this method enhances signal visualisation and allows deep learning algorithms to extract signal features more effectively, resulting in a significant improvement in accuracy to 96.83%. This precision far surpasses that of conventional one-dimensional data input approaches, thus validating the efficacy of the measures implemented. The empirical results demonstrate that the method is proficient in predicting the transition of tools across diverse wear states. Consequently, this approach provides a robust technical foundation for the manufacturing industry to reduce production costs, improve operational efficiency, and facilitate predictive maintenance practices.
Neutrons reveal the dynamics of leaf thylakoids in living plants
Authors: Stingaciu Laura-Roxana , O’Neill Hugh , Liu Chung-Hao , Evans Barbara R. , Nagy Gergely 
Published: June 2024

Abstract

The study is the first known exploration of photosynthetic membranes dynamics in living plants by high resolution inelastic neutron scattering spectroscopy. We characterized in vivo thylakoid membranes mobility in Lemna minor plants. Excess dynamics at length scales corresponding to both the membrane stacks and membrane thickness were observed and described by classical biophysical models to assess the undulation modes, the rigidity of the membranes, and how the structural variations affect the observed dynamics. The stacks of thylakoids in Lemna minor are rigid systems with an apparent bending coefficient in the upper range observed for surfactant membranes, while the single thylakoid leaflet is very flexible situated well within the bi-continuous surfactant phases dynamics. These observations further our understanding of the relationship between photosynthesis and the cellular architecture, while simultaneously opening more questions and the need for further investigations at extended q-and-time regimes.
Morphological and genetic screens reveal mechanisms of BiDAC-induced plasma membrane protein degradation
Authors: Bersuker Kirill , Jafri Qumber , Lazzari-Dean Julia , Sangha Manjot , Villa Sammy , Lefebvre Austin , Fitzgerald Mark , Jackson Katrina , Chen Zhenghao , Feng Brian , Nile Aaron , Stokoe David 
Published: June 2024

Abstract

The discovery of bifunctional degradation activating compounds (BiDACs) has led to the development of a new class of drugs that promote the clearance of their protein targets. BiDAC-induced ubiquitination is generally believed to direct cytosolic and nuclear proteins to proteolytic destruction by proteasomes. However, pathways that govern the degradation of other classes of BiDAC targets, such as integral membrane and intraorganellar proteins, have not been investigated in depth. In this study we used morphological profiling and CRISPR/Cas9 genetic screens to investigate the mechanisms by which BiDACs induce the degradation of plasma membrane receptor tyrosine kinases (RTKs) EGFR and Her2. We found that BiDAC-dependent ubiquitination triggers the trafficking of RTKs from the plasma membrane to lysosomes for degradation. Surprisingly, functional proteasomes were required for endocytosis of RTKs upstream of the lysosome. Additionally, our screen uncovered a non-canonical function of the lysosome-associated arginine/lysine transporter PQLC2 in EGFR degradation. Our data show that BiDACs may target proteins to proteolytic machinery other than the proteasome and motivate further investigation of mechanisms that govern the degradation of diverse classes of BiDAC targets.
Co-delivery of Tacrolimus and Thymoquinone topically by Nanostructured lipid carriers gel for enhanced efficacy against imiquimod-induced psoriasis in Balb/c mice
Authors: Alam Meraj , Rizwanullah Md. , Ahmad Shahnawaz , Iqubal Ashif , Mir Showkat R. , Kim Tae-Geum , Amin Saima 
Published: June 2024

Abstract

The primary objective of this current investigation is to evaluate the antipsoriatic potential of a novel nanogel delivery system that co-encapsulates tacrolimus and thymoquinone within nanostructured lipid carriers (NLCs). Therefore, TAC-THQ-NLCs-gel was formulated by emulsification solvent-evaporation technique and evaluated for their potential in improving skin permeation, skin bioavailability, skin safety, and therapeutic efficacy in imiquimod-induced psoriasis in mice plaque model. The ex-vivo skin permeation study shows 2.51- and 2.12-folds higher permeation for TAC-THQ-NLCs-gel as compared to TAC-THQ-suspension-gel, also the permeation enhancement mechanism of NLCs gel was confirmed using FTIR and DSC. Further skin retention study shows 2.87- and 2.36-fold improvement in retention of the drug as compared to free drug gel formulation. Further, the dermatokinetic study shows 2.78 and 2.37 folds higher Cmax and 2.93- and 2.40-fold higher AUC (area under the curve) for TAC and THQ respectively as compared to free drugs gel. The results of the in-vivo skin compliance study suggested that the fabricated TAC-THQ-NLCs-gel was safe for skin delivery. Furthermore, TAC-THQ-NLCS-gel represented much better amelioration of psoriasis in Balb/c mice, with a cumulative PASI score reduction of 83.80% as compared to 57.14% for free drugs gel after the end of treatment. In addition, the insignificant changes in the histology of the skin, spleen, and liver further confirm the efficacy and safety of the developed TAC-THQ-NLCs-gel. Based on these observations, it can be inferred that TAC-THQ-NLCs-gel holds promise as a combined treatment approach for managing psoriasis topically.