bluuebunny/crossref_metadata_2025 huggingface dataset:
Hybrid Integrated Silicon Photonics Based on Nanomaterials
Authors: Prete Domenic , Amanti Francesco , Andrini Greta , Armani Fabrizio , Bellani Vittorio , Bonaiuto Vincenzo , Cammarata Simone , Campostrini Matteo , Cornia Samuele , Dao Thu Ha , De Matteis Fabio , Demontis Valeria , Di Giuseppe Giovanni , Ditalia Tchernij Sviatoslav , Donati Simone , Fontana Andrea , Forneris Jacopo , Francini Roberto , Frontini Luca , Gazzadi Gian Carlo , Gunnella Roberto , Iadanza Simone , Kaplan Ali Emre , Lacava Cosimo , Liberali Valentino , Martini Leonardo , Marzioni Francesco , Menozzi Claudia , Nieto Hernández Elena , Pedreschi Elena , Piergentili Paolo , Prosposito Paolo , Rigato Valentino , Roncolato Carlo , Rossella Francesco , Salamon Andrea , Salvato Matteo , Sargeni Fausto , Shojaii Jafar , Spinella Franco , Stabile Alberto , Toncelli Alessandra , Trucco Gabriella , Vitali Valerio
Published: May 2024

Integrated photonic platforms have rapidly emerged as highly promising and extensively investigated systems for advancing classical and quantum information technologies, since their ability to seamlessly integrate photonic components within the telecommunication band with existing silicon-based industrial processes offers significant advantages. However, despite this integration facilitating the development of novel devices, fostering fast and reliable communication protocols and the manipulation of quantum information, traditional integrated silicon photonics faces inherent physical limitations that necessitate a challenging trade-off between device efficiency and spatial footprint. To address this issue, researchers are focusing on the integration of nanoscale materials into photonic platforms, offering a novel approach to enhance device performance while reducing spatial requirements. These developments are of paramount importance in both classical and quantum information technologies, potentially revolutionizing the industry. In this review, we explore the latest endeavors in hybrid photonic platforms leveraging the combination of integrated silicon photonic platforms and nanoscale materials, allowing for the unlocking of increased device efficiency and compact form factors. Finally, we provide insights into future developments and the evolving landscape of hybrid integrated photonic nanomaterial platforms.
Green Synthesis and Characterization of Ginger-Derived Silver Nanoparticles and Evaluation of Their Antioxidant, Antibacterial, and Anticancer Activities
Authors: Mehrotra Shweta , Goyal Vinod , Dimkpa Christian O. , Chhokar Vinod
Published: May 2024

The efficacy, targeting ability, and biocompatibility of plant-based nanoparticles can be exploited in fields such as agriculture and medicine. This study highlights the use of plant-based ginger nanoparticles as an effective and promising strategy against cancer and for the treatment and prevention of bacterial infections and related disorders. Ginger is a well-known spice with significant medicinal value due to its phytochemical constituents including gingerols, shogaols, zingerones, and paradols. The silver nanoparticles (AgNPs) derived from ginger extracts could be an important non-toxic and eco-friendly nanomaterial for widespread use in medicine. In this study, AgNPs were biosynthesized using an ethanolic extract of ginger rhizome and their phytochemical, antioxidant, antibacterial, and cytotoxic properties were evaluated. UV–visible spectral analysis confirmed the formation of spherical AgNPs. FTIR analysis revealed that the NPs were associated with various functional biomolecules that were associated with the NPs during stabilization. The particle size and SEM analyses revealed that the AgNPs were in the size range of 80–100 nm, with a polydispersity index (PDI) of 0.510, and a zeta potential of −17.1 mV. The purity and crystalline nature of the AgNPs were confirmed by X-ray diffraction analysis. The simple and repeatable phyto-fabrication method reported here may be used for scaling up for large-scale production of ginger-derived NPs. A phytochemical analysis of the ginger extract revealed the presence of alkaloids, glycosides, flavonoids, phenolics, tannins, saponins, and terpenoids, which can serve as active biocatalysts and natural stabilizers of metallic NPs. The ginger extracts at low concentrations demonstrated promising cytotoxicity against Vero cell lines with a 50% reduction in cell viability at 0.6–6 μg/mL. When evaluated for biological activity, the AgNPs exhibited significant antioxidant and antibacterial activity on several Gram-positive and Gram-negative bacterial species, including Escherichia coli, Bacillus subtilis, Pseudomonas aeruginosa, and Staphylococcus aureus. This suggests that the AgNPs may be used against multi-drug-resistant bacteria. Ginger-derived AgNPs have a considerable potential for use in the development of broad-spectrum antimicrobial and anticancer medications, and an optimistic perspective for their use in medicine and pharmaceutical industry.
Comprehensive Comparative Analysis of the JAZ Gene Family in Common Wheat (Triticum aestivum) and Its D-Subgenome Donor Aegilops tauschii
Authors: Zhai Zhiwen , Che Yuqing , Geng Shuaifeng , Liu Shaoshuai , Zhang Shuqin , Cui Dada , Deng Zhongyin , Fu Mingxue , Li Yang , Zou Xinyu , Liu Jun , Li Aili , Mao Long
Published: May 2024

JASMONATE-ZIM DOMAIN (JAZ) repressor proteins work as co-receptors in the jasmonic acid (JA) signalling pathway and are essential for plant development and environmental adaptation. Despite wheat being one of the main staple food crops, until recently, comprehensive analysis of its JAZ gene family has been limited due to the lack of complete and high-quality reference genomes. Here, using the latest reference genome, we identified 17 JAZ genes in the wheat D-genome donor Aegilops tauschii. Then, 54 TaJAZs were identified in common wheat. A systematic examination of the gene structures, conserved protein domains, and phylogenetic relationships of this gene family was performed. Five new JAZ genes were identified as being derived from tandem duplication after wheat divergence from other species. We integrated RNA-seq data and yield QTL information and found that tandemly duplicated TaJAZ genes were prone to association with spike-related traits. Moreover, 12 TaJAZ genes were located within breeding selection sweeps, including 9 tandemly duplicated ones. Haplotype variation analysis of selected JAZ genes showed significant association of TaJAZ7A and TaJAZ13A with thousand-grain weight. Our work provides a clearer picture of wheat JAZ gene evolution and puts forward the possibility of using these genes for wheat yield improvement.
Production Prediction Model of Tight Gas Well Based on Neural Network Driven by Decline Curve and Data
Authors: Chen Minjing , Qu Zhan , Liu Wei , Tang Shanjie , Shang Zhengkai , Ren Yanfei , Han Jinliang
Published: May 2024

The accurate prediction of gas well production is one of the key factors affecting the economical and efficient development of tight gas wells. The traditional oil and gas well production prediction method assumes strict conditions and has a low prediction accuracy in actual field applications. At present, intelligent algorithms based on big data have been applied in oil and gas well production prediction, but there are still some limitations. Only learning from data leads to the poor generalization ability and anti-interference ability of prediction models. To solve this problem, a production prediction method of tight gas wells based on the decline curve and data-driven neural network is established in this paper. Based on the actual production data of fractured horizontal wells in three tight gas reservoirs in the Ordos Basin, the prediction effect of the Arps decline curve model, the SPED decline curve model, the MFF decline curve model, and the combination of the decline curve and data-driven neural network model is compared and analyzed. The results of the case analysis show that the MFF model and the combined data-driven model have the highest accuracy, the average absolute percentage error is 14.11%, and the root-mean-square error is 1.491, which provides a new method for the production prediction of tight gas wells in the Ordos Basin.
Estrogen Signals through ERβ in Breast Cancer; What We Have Learned since the Discovery of the Receptor
Authors: Nagandla Harika , Thomas Christoforos
Published: May 2024

Estrogen receptor (ER) β (ERβ) is the second ER subtype that mediates the effects of estrogen in target tissues along with ERα that represents a validated biomarker and target for endocrine therapy in breast cancer. ERα was the only known ER subtype until 1996 when the discovery of ERβ opened a new chapter in endocrinology and prompted a thorough reevaluation of the estrogen signaling paradigm. Unlike the oncogenic ERα, ERβ has been proposed to function as a tumor suppressor in breast cancer, and extensive research is underway to uncover the full spectrum of ERβ activities and elucidate its mechanism of action. Recent studies have relied on new transgenic models to capture effects in normal and malignant breast that were not previously detected. They have also benefited from the development of highly specific synthetic ligands that are used to demonstrate distinct mechanisms of gene regulation in cancer. As a result, significant new information about the biology and clinical importance of ERβ is now available, which is the focus of discussion in the present article.
Transition, Emulation and Dispute over Authority in the Bábí/Bahá’í Faith
Authors: Anoshka Siarhei A.
Published: May 2024

This text attempts to analyze the competition for the leadership role in the young Bábí religious community after the execution of their leader, Báb (1819–1850). With the elimination of many leaders, a small group stood out who were willing to replace the absent leader. Two preferences arose within the Babi community: forceful and pacifist. Motivated by the hunger to settle scores, supporters of the first option wanted to fight and reach the victory predicted in the Shiʻite tradition. The second option’s followers, however, rejected all acts of violence, preferring to look at the Báb’s texts, calling their worshipers to lofty ideals as a method of luring other people to the new religion. Presently, after the sentencing to punishment of the Prophet Báb, several people emerged among the former Shiʻites’ group who made claims to authority in the community. Nevertheless, quite quickly, the main confrontation came down to a conflict between two outstanding personalities. Mírzá Yaḥyá Núrí (1831–1912), representing the radical trend of Babism, nicknamed Ṣubḥ-i Azal, was fighting for leadership with Mírzá Ḥusajn-‘Alí Núrí (1817–1892), his half-brother, belonging to the peaceful Bábí party. This article describing the rivalry between two relatives for the leadership position also allows us to see the process of writing down, codifying and spreading the young Bayán religion.
Combined Optimisation of Traffic Light Control Parameters and Autonomous Vehicle Routes
Authors: Gallo Mariano
Published: May 2024

In the near future, fully autonomous vehicles may revolutionise mobility and contribute to the development of the smart city concept. In this work, we assume that vehicles are not only fully autonomous but also centrally controlled by a single operator, who can also define the traffic light control parameters at intersections. With the aim of optimising the system to achieve a global optimum, the operator can define both the routes of the fleet of vehicles and the traffic light control parameters. This paper proposes a model for the joint optimisation of traffic light control parameters and autonomous vehicle routes to achieve the system optimum. The model, which is solved using a gradient algorithm, is tested on networks of different sizes. The results obtained show the validity of the proposed approach and the advantages of centralised management of vehicles and intersection control parameters.
Inference Analysis of Video Quality of Experience in Relation with Face Emotion, Video Advertisement, and ITU-T P.1203
Authors: Selma Tisa , Masud Mohammad Mehedy , Bentaleb Abdelhak , Harous Saad
Published: May 2024

This study introduces an FER-based machine learning framework for real-time QoE assessment in video streaming. This study’s aim is to address the challenges posed by end-to-end encryption and video advertisement while enhancing user QoE. Our proposed framework significantly outperforms the base reference, ITU-T P.1203, by up to 37.1% in terms of accuracy and 21.74% after attribute selection. Our study contributes to the field in two ways. First, we offer a promising solution to enhance user satisfaction in video streaming services via real-time user emotion and user feedback integration, providing a more holistic understanding of user experience. Second, high-quality data collection and insights are offered by collecting real data from diverse regions to minimize any potential biases and provide advertisement placement suggestions.
Quantification of Fundamental Textile Properties of Electronic Textiles Fabricated Using Different Techniques
Authors: M. Shahidi Arash , Marasinghe Kalana , Ebrahimi Parvin , Wood Jane , Rahemtulla Zahra , Jobling Philippa , Oliveira Carlos , Dias Tilak , Hughes-Riley Theo
Published: May 2024

Electronic textiles (E-textiles) have experienced an increase in interest in recent years leading to a variety of new concepts emerging in the field. Despite these technical innovations, there is limited literature relating to the testing of E-textiles for some of the fundamental properties linked to wearer comfort. As such, this research investigates four fundamental properties of E-textiles: air permeability, drape, heat transfer, and moisture transfer. Three different types of E-textiles were explored: an embroidered electrode, a knitted electrode, and a knitted structure with an embedded electronic yarn. All of the E-textiles utilized the same base knitted fabric structure to facilitate a comparative study. The study used established textile testing practices to evaluate the E-textiles to ascertain the suitability of these standards for these materials. The study provides a useful point of reference to those working in the field and highlights some limitations of existing textile testing methodologies when applied to E-textiles.
A Human Skin Explant Test as a Novel In Vitro Assay for the Detection of Skin Sensitization to Aggregated Monoclonal Antibodies
Authors: Martins-Ribeiro Ana , Kizhedath Arathi , Ahmed Shaheda Sameena , Glassey Jarka , Ishaq Abbas , Freer Matthew , Dickinson Anne Mary
Published: May 2024

Introduction: Monoclonal antibodies (mAbs) are important therapeutics. However, the enhanced potential for aggregation has become a critical quality parameter during the production of mAbs. Furthermore, mAb aggregation may also present a potential health risk in a clinical setting during the administration of mAb therapeutics to patients. While the extent of immunotoxicity in patient populations is uncertain, reports show it can lead to immune responses via cell activation and cytokine release. In this study, an autologous in vitro skin test designed to predict adverse immune events, including skin sensitization, was used as a novel assay for the assessment of immunotoxicity caused by mAb aggregation. Material and Methods: Aggregation of mAbs was induced by a heat stress protocol, followed by characterization of protein content by analytical ultra-centrifugation and transmission electron microscopy, revealing a 4% aggregation level of total protein content. Immunotoxicity and potential skin sensitization caused by the aggregates, were then tested in a skin explant assay. Results: Aggregated Herceptin and Rituximab caused skin sensitization, as shown by histopathological damage (grade II–III positive response) together with positive staining for Heat Shock Protein 70 (HSP70). Changes in T cell proliferation were not observed. Cytokine analysis revealed a significant increase of IL-10 for the most extreme condition of aggregation (65 °C at pH3) and a trend for an overall increase of IFN-γ, especially in response to Rituximab. Conclusions: The skin explant assay demonstrated that aggregated mAbs showed adverse immune reactions, as demonstrated as skin sensitization, with histopathological grades II-III. The assay may, therefore, be a novel tool for assessing immunotoxicity and skin sensitization caused by mAb aggregation.
High Concentration of Anti-SARS-CoV-2 Antibodies 2 Years after COVID-19 Vaccination Stems Not Only from Boosters but Also from Widespread, Often Unrecognized, Contact with the Virus
Authors: Swadźba Jakub , Panek Andrzej , Wąsowicz Paweł , Anyszek Tomasz , Martin Emilia
Published: May 2024

This study follows 99 subjects vaccinated with Pfizer/BioNTech COVID-19 vaccines over two years, with particular focus on the last year of observation (between days 360 and 720). The response to the vaccination was assessed with Diasorin’s SARS-CoV-2 TrimericSpike IgG. Screening for SARS-CoV-2 infection was performed with Abbott’s SARS-CoV-2 Nucleocapsid IgG immunoassay. Data from questionnaires were also analyzed. Two years after the first vaccine dose administration, 100% of the subjects were positive for anti-spike SARS-CoV-2 IgG and the median antibody level was still high (3600 BAU/mL), dropping insignificantly over the last year. Simultaneously, a substantial increase in seropositivity in anti-nucleocapsid SARS-CoV-2 IgG was noted, reaching 33%. There was no statistically significant agreement between anti-N seropositivity and reported COVID-19. Higher anti-spike concentrations and lower COVID-19 incidence was seen in the older vaccinees. It was noted that only subjects boosted between days 360 and 720 showed an increase in anti-spike IgG concentrations. The higher antibody concentrations (median 7440 BAU/mL) on day 360 were noted in participants not infected over the following year. Vaccination, including booster administrations, and natural, even unrecognized, contact with SARS-CoV-2 entwined two years after the primary vaccination, leading to high anti-spike antibody concentrations.
Turkish Adaptation, Reliability, and Validity Study of the Vaccine Acceptance Instrument
Authors: Kömürlüoğlu Ayça , Akaydın Gültürk Esra , Yalçın Sıddika Songül
Published: May 2024

This research study aimed to assess the reliability and validity of the Turkish version of the Vaccine Acceptance Instrument (VAI). The VAI is a 20-item Likert-type scale, with responses ranging across seven points. A systematic approach was followed to translate the scale into Turkish, involving translation, expert panel evaluation, back-translation, and pilot testing. The Vaccine Acceptance Instrument and a sociodemographic data form were used for data collection. The reliability of the scale was tested by test–retest analysis, and its internal reliability was examined by Cronbach’s alpha test. The factor structure was examined using Exploratory Factor Analysis (EFA). Confirmatory Factor Analysis (CFA) was employed to assess the scale’s fit. Overall, 229 participants were included in the study. In test–retest reliability analysis, the intraclass correlation coefficient of the scale was 0.992 (95% CI: 0.987–0.996). The Cronbach’s alpha value of the scale was 0.824. A four-factor structure was determined. The model had an acceptable fit [χ2/df = 380.04/164 (2,317) p < 0.001, CFI = 0.91, GFI = 0.90, AGFI = 0.906, NFI = 0.90, RMSEA = 0.076]. The mean total VAI score was 112.71 ± 17.02. The low education level of the mother, being a housewife, and parents not having the COVID-19 vaccine were statistically significantly associated with a low scale score and low vaccine acceptance (p < 0.05). The Turkish adaptation of the VAI demonstrated satisfactory levels of validity and reliability following rigorous testing.
The Equal Neutralizing Effectiveness of BNT162b2, ChAdOx1 nCoV-19, and Sputnik V Vaccines in the Palestinian Population
Authors: Damour Alexia , Faure Muriel , Landrein Nicolas , Ragues Jessica , Ardah Narda , Dhaidel Haneen , Lafon Marie-Edith , Wodrich Harald , Basha Walid
Published: May 2024

Since the beginning of the COVID-19 pandemic, different viral vector-based and mRNA vaccines directed against the SARS-CoV-2 “S” spike glycoprotein have been developed and have shown a good profile in terms of safety and efficacy. Nevertheless, an unbiased comparison of vaccination efficiency, including post-vaccination neutralizing activity, between the different vaccines remains largely unavailable. This study aimed to compare the efficacy of one mRNA (BNT162b2) and two non-replicating adenoviral vector vaccines (ChAdOx1 nCoV-19 and Sputnik V) in a cohort of 1120 vaccinated Palestinian individuals who received vaccines on an availability basis and which displayed a unique diversity of genetic characteristics. We assessed the level of anti-S antibodies and further determined the antibody neutralizing activity in 261 of those individuals vaccinated with BNT162b2a (121), ChAdOx1 (72) or Sputnik V (68). Our results showed no significant difference in the distribution of serum-neutralizing activity or S-antibody serum levels for the three groups of vaccines, proving equivalence in efficacy for the three vaccines under real-life conditions. In addition, none of the eight demographic parameters tested had an influence on vaccination efficacy. Regardless of the vaccine type, the vaccination campaign ultimately played a pivotal role in significantly reducing the morbidity and mortality associated with COVID-19 in Palestine.
Personalized Path-Tracking Approach Based on Reference Vector Field for Four-Wheel Driving and Steering Wire-Controlled Chassis
Authors: Dai Changhua , Zong Changfu , Zhang Dong , Zheng Hongyu , Kaku Chuyo , Wang Dingheng , Zhao Kai
Published: May 2024

It is essential and forward-thinking to investigate the personalized use of four-wheel driving and steering wire-controlled unmanned chassis. This paper introduces a personalized path-tracking approach designed to adapt the vehicle’s control system to human-like characteristics, enhancing the fit and maximizing the potential of the chassis’ multi-directional driving and steering capabilities. By modifying the classic vehicle motion controller design, this approach aligns with individual driving habits, significantly improving upon traditional path-tracking control methods that rely solely on reference vector fields. First, the classic reference vector field’s logic was expanded upon, and it is shown that a personalized upgrade is feasible. Then, driving behavior data from multiple drivers were collected using a driving simulator. The fuzzy c-means clustering method was used to categorize drivers based on typical states that match vehicle path-tracking performance. Additionally, the random forest algorithm was used as the method for recognizing driving style. Subsequently, a personalized path-tracking control strategy based on the reference vector field was developed and a distributed execution architecture for four-wheel driving and steering wire-controlled unmanned chassis was established. Finally, the proposed personalized path-tracking approach was validated using a driving simulator. The results of the experimental tests demonstrated that the personalized path-tracking control approach not only fits well with various driving styles but also delivers high accuracy in driving style identification, making it highly suitable for application in four-wheel driving and steering wire-controlled chassis.
Evaluasi Kualitas Jaringan Undiksha Harmoni dengan Menggunakan Metode Quality of Service
Authors: Saskara Gede Arna Jude , Edy Listartha I Made , Dharma Putra I Putu Surya , Arijaya Kusuma Kadek Angga
Published: May 2024

Salah satu Universitas Negeri yang terletak di Bali Utara yaitu Universitas Pendidikan Ganesha (Undiksha) menyediakan layanan jaringan tanpa menggunakan kabel untuk civitasnya. SSID jaringan yang terdapat di area kampus Undiksha yaitu ”Undiksha Harmoni” Jaringan komputer ketika sudah di implementasikan tentunya harus dilakukan Evaluasi kualitas layanannya agar kualitasnya tetap terjaga. Mengukur kualitas jaringan dapat menggunakan metode Quality of Servive (QoS). Sejak awal jaringan Wi-Fi di Undiksha yaitu ”Undiksha Harmoni” diimplementasikan, hingga saat ini belum pernah dievaluasi kualitas layanannya sehingga belakangan ini berdasarkan hasil observasi di lapangan dan kuisioner terhadap mahasiswa sering terjadi permasalahan seperti akses yang lambat dan tidak dapat terhubung ke jaringan. Berdasarkan permasalahan tersebut, tentunya perlu melakukan evaluasi kualitas layanan pada jaringan Wi-Fi ”Undiksha Harmoni” dengan menggunakan QoS. Terdapat 4 parameter yang menjadi tolak ukur dalam evaluasi jaringan yang menggunakan QoS yaitu: Throughput, Delay, Jitter dan Packet Loss. Parameter tersebut akan diukur di Area Undiksha pada saat jaringan sedang sibuk dan saat sepi. Hasil pengukuran tersebut akan di hitung sesuai dengan persamaan masing-masing parameter dan kemudian ditarik kesimpulan berdasarkan standar penilaian parameter QoS yaitu TIPHON (Telecommunications and Internet Protocol Harmonization Over Network). Berdasarkan penelitian dengan menggunakan metode action research didapatkan bahwa indeks rata–rata Throughput adalah 3,93, indeks rata-rata Delay adalah 4, indeks rata-rata Packet Loss adalah 3,8 dan indeks rata-rata Jitter adalah 3, lalu dicari nilai rata-rata dari keempat nilai tersebut maka didapatkan rata-rata yaitu 3,68 yang jika diklasifikasikan berdasarkan standar TIPHON kualitas jaringan Wi-Fi Undiksha dengan SSID ”Undiksha Harmoni” Memuaskan.
Peringkasan Teks Otomatis Abstraktif Menggunakan Transformer Pada Teks Bahasa Indonesia
Authors: Bahari Andika , Dewi Kania Evita
Published: May 2024

Abstractive text summarization is used to generate summaries that are similar to human-written summaries. To achieve that capability, recurrent deep learning architectures were usually applied, such as RNN, LSTM, and GRU. In previous studies about abstractive text summarization in Indonesian, recurrent models were widely used and there were cohesion and grammar errors that appeared in the generated summaries—this could have an impact on performance. Currently, there is Transformer, a relatively new architecture that relies on the attention mechanism entirely. Due to its non-recurrent nature, Transformer overcomes the problem of dependency the on hidden states that occurs in recurrent models and it can retain information on all input sequences. In this study, we use Transformer to evaluate how good it is at abstractive text summarization in Indonesian. The training was conducted using the pre-trained T5 model with IndoSum dataset which contains around 19K news-summary pairs. We achieved evaluation scores of 0.61 ROUGE-1 and 0.51 ROUGE-2.
Application of Data Mining in Disease Clustering at Klinik Keluarga
Authors: Kadafi Mochamad Nurkhayal , Finandhita Alif
Published: May 2024

The purpose of this study is to provide recommendations for counseling materials to assist the Promkes and Marketing Coordinator at the Klinik Keluarga in determining appropriate health counseling materials in an area. Counseling is conducted on a scheduled basis to a predetermined area. However, many of the materials presented are not in accordance with the majority of diseases suffered by the community in the area. This causes clinic services to be not optimal due to lack of awareness of a disease in the region. Data Mining with Clustering method and K-Means algorithm is used in this study to determine the pattern of disease distribution based on its characteristics from the data sources used, consisting of visit data, parent disease data, disease category data, sub-district data, and village data. The evaluation results show that the disease clustering process produces an average accuracy of 0.263. These results show that data mining with the clustering method can help the Promkes and Marketing Coordinator at the Family Clinic in determining the right counseling material for the community.
A Smart Clothes Drying Rack Roof Based on Arduino with Rain and Light Sensors
Authors: Mastiyanto Rizky Rizaldi , Al-Azhari Abdurrakhman Hamid , Djuniadi Djuniadi
Published: May 2024

A smart clothesline roof prototype based on Arduino is equipped with rain sensor, light sensor, and servo motor for automated response against weather changes. This system is designed to automatically close the clothesline roof when rain is detected, thereby protecting clothes or items hung from risk of damage due to rainwater. Additionally, the light sensor plays a role in adjusting the clothesline roof position based on surrounding light intensity, allowing it to open widely in bright conditions to maximize clothes drying process when sunlight is adequate. The application of Arduino microcontroller provides flexibility in terms of programming intelligent algorithms in the system, while the servo motor is tasked with moving the clothesline roof precisely according to input commands sent by the Arduino. The testing results of the prototype demonstrate its ability in accurately responding to environmental and weather changes, where the rain sensor will trigger roof closure as soon as any raindrops or rain is detected, while the light sensor will adjust roof opening level to optimize drying when sunlight is intense enough. With this smart solution, efficiency and effectiveness of utilizing the clothesline roof can be enhanced and protection of clothes from rain exposure can be optimally maintained
PENGARUH VARIASI DAYA DAN LAMA WAKTU KONTAK LAMPU ULTRAVIOLET TIPE C PADA LEMARI STERILISASI TERHADAP PENURUNAN JUMLAH KUMAN PADA ALAT MAKAN DI KANTIN OFFICE PT.X
Authors: Irmawartini Irmawartini , Kusmawati Elma Dwi , Djuhriah Nany
Published: May 2024

The problem of food sanitation hygiene was very important to be addressed, especially in food management facilities such as office canteens. It was found that the number of germs on cutlery in the PT X canteen exceeded the established quality standard, namely 150 colonies/cm2. Attempts to reduce the number of germs on the cutlery of dishes by sterilization using UV-C light. This study aims to determine the variation in power and the length of contact time of ultraviolet lamp type C (UV-C)  using a sterilization cabinet against reducing the number of germs on the cutlery at PT.X This type of research is an experiment with a posttest with control design. The cutlery used as a sample was 25 pieces. Data analysis was bivariate statistic analysis.  Based on the results, it was known that there was a decrease in the number of germs after UV-C light irradiation was carried out. Irradiation with a power of 15 watts long contact 25 minutes lowers the number of germs 96.89%, Irradiation with a power of 15 watts long contact 30 minutes lowers the number of germs 98.65%, Irradiation with a power of 30 watts long contact 25 minutes lowers the number of germs 99.89%, and Irradiation with a power of 30 watts long contact 30 minutes decreases the number of germs 100%. A decrease in the number of effective germs occurs at a lamp power of 30 watts with a time contact duration of 30 minutes.
Associations between Social Support and Patient-Reported Outcomes in Patients Receiving Hemodialysis
Authors: Erickson Sarah J. , Yabes Jonathan G. , Han Zhuoheng , Roumelioti Maria-Eleni , Rollman Bruce L. , Weisbord Steven D. , Steel Jennifer L. , Unruh Mark L. , Jhamb Manisha
Published: May 2024

Key Points

Mean baseline levels of perceived social support (Multidimensional Scale of Perceived Social Support) were comparable with other chronically ill populations.

Higher Multidimensional Scale of Perceived Social Support scores were correlated with lower levels of fatigue, pain, depressive symptoms, anxiety, better sleep quality, and health-related quality of life (Short Form-12 Mental Component Score).

Moderation analyses revealed male sex and non-Hispanic ethnicity resulted in stronger positive associations of perceived social support with Short Form-12 Mental Component Score.

Background

Patients with ESKD experience high symptom burden, which has been associated with a negative effect on their interpersonal relationships. However, there is limited research exploring associations of social support and patient-reported outcomes among patients receiving hemodialysis.

Methods

This study is a secondary, cross-sectional analyses of the sociodemographic and clinical correlates of perceived social support (Multidimensional Scale of Perceived Social Support [MSPSS]) at baseline. The study examined the extent to which perceived social support is associated with pain, depression, fatigue, anxiety, sleep, and health-related quality of life (Short Form-12 [SF-12] Mental Component Score [MCS] and Physical Component Score.

Results

Of the 160 randomized patients, the mean (SD) age was 58±14 years; years on dialysis was 4.1±4.2; 45% were female; 29% Black, 13% American Indian, and 18% Hispanic; 88% had at least high school education; and 27% were married. Mean baseline levels of perceived social support were comparable with other chronically ill populations. At least high school education (P = 0.04) and being married (P = 0.05) were associated with higher total MSPSS scores. Higher MSPSS scores were correlated with lower levels of fatigue (r=0.21, P = 0.008; higher fatigue scores signify lower fatigue), pain (r=−0.17, P = 0.03), depressive symptoms (r=−0.26, P < 0.001), anxiety (r=−0.23, P = 0.004), better sleep quality (r=−0.32, P < 0.001), and SF-12 MCS (r=0.26, P < 0.001). Moderation analyses revealed male sex and non-Hispanic ethnicity resulted in stronger positive associations of perceived social support with SF-12 MCS.

Conclusions

The level of perceived social support observed among patients receiving thrice-weekly hemodialysis in Technology Assisted Stepped Collaborative Care was similar to those observed in other chronic conditions. Because of the associations between perceived social support and patient-reported outcomes, particularly psychosocial and behavioral health outcomes, targeting social support appears to be warranted among patients receiving hemodialysis.

Clinical Trial registration number:

ClinicalTrials.gov NCT03440853.
Inclusive stimulating space planning for sustainable urban agglomeration
Authors: Jagtap Rutuja Deshmukh , Singh Devendra Pratap
Published: May 2024

Open Spaces provides space for the expression of diversity, both personal and cultural. The social and cultural values of open space include attitudes towards nature and the desire for contact with it. Open space is now Inclusive part of statutory and community planning processes. Urban Spaces must be stimulating for all age groups encouraging their activities, events and gatherings via sustainable planning and design. This paper focuses on need, unconventional, visions and principles for urban open space in this modern era of planning. The social, cultural and physiological values of open space include attitudes towards nature and the desire for contact with it.
A review on processing and properties of aluminum based metal matrix composites
Authors: Namdev Nagaraj , Vishwanathaiah Mahendra Konanur , Nagaral Madeva , Kumar Subbaraya Mohan , Lakshmipathy Chandrasekhar Gotur
Published: May 2024

This journal paper presents an in-depth exploration of Metal Matrix Composites (MMCs), a vital class of composite materials extensively employed in diverse sectors such as aerospace, automotive, defense, and marine due to their exceptional combination of high strength and reduced weight. The review focuses on various processing methods for MMCs, emphasizing the range of fabrication techniques available. The experimental evaluation of these composites is discussed, encompassing essential assessments like hardness, tensile strength, compression resistance, fatigue behavior, and tribological performance, all conducted in accordance with ASTM standards. The objective of the paper is to provide a thorough understanding of MMCs, from their fabrication processes to the systematic evaluation of their properties, contributing valuable insights to the ﬁeld.
O pagamento de recompensas por denúncias feitas ao Disque-Denúncia 181 no Paraná: uma nova política de prevenção ao crime
Authors: Fragoso Edivan Sharles
Published: May 2024

As flagrantes desigualdades sociais em nosso país são reflexos de políticas públicas mal aplicadas em favor da igualdade e bem estar de todos. O uso de drogas entorpecentes ilícitas é cada vez maior em todas as classes sociais e a degradação social a que tal prática leva demonstra serem as drogas a porta de entrada para a grande maioria de outros crimes que assolam a sociedade e aumentam a violência em todo o mundo. A missão do poder público como garantidor do bem estar social é desenvolver mecanismos eficazes ao cumprimento da lei, sobretudo no combate ao crime, tendo por objetivo a manutenção da ordem, da tranquilidade pública e consequentemente da qualidade de vida de todos os cidadãos. Metodologicamente, tratou-se de uma pesquisa bibliográfica para o desenvolvimento de uma revisão de literatura descritiva e qualitativa. Neste cenário a participação da sociedade por meio de informações que auxiliem as autoridades públicas neste trabalho, acaba sendo uma das ferramentas que apresenta grande eficácia na resolução de crimes cometidos, contribuindo para prevenção dos delitos e na diminuição da criminalidade. Para tanto, pode o Estado instituir formas de pagamento de recompensas por informações prestadas aos órgãos de segurança que sejam úteis à prevenção, à repressão e a investigação de crimes.
Los impactos del COVID-19 en el comportamiento de los consumidores en Uruguay
Authors: Horta Roberto , Camacho Micaela , Argenzio Luis Miguel Silveira
Published: May 2024

La especial situación de pandemia global durante 2020, provocada por la rápida expansión del COVID-19, ha generado numerosos efectos a distintos niveles, impactando fuertemente en los sistemas económicos, tanto desde la oferta como desde la demanda. Esta investigación puso el foco en el efecto que esta coyuntura ha tenido en la demanda y el consumo, especialmente de bienes durables, entre los meses de marzo a agosto de 2020 en Uruguay. A través del análisis de la evolución del Índice de Confianza del Consumidor, y los tres subíndices que lo conforman, el presente estudio pudo comprobar que el shock COVID tuvo importantes efectos en la conformación de los hábitos de consumo de la población uruguaya.
Relação entre endometriose e infertilidade nas mulheres: uma revisão integrativa
Authors: Duarte Meyling Eng de Almeida , Campos André Luiz Baião , Galindo Layanne Liege Domingos , Barretto Julia Santos de Almeida , Campos Ana Helena Prado Santana , Santos Mariana Sprakel dos , Galindo Renata Feitosa , Lima Yvnna Santos
Published: May 2024

Introdução: Endometriose é uma doença crônica e inflamatória causada pelo tecido endometrial do tipo glandular e estromal localizados fora da cavidade uterina. Estudos indicam que 6% a 10% das mulheres em idade reprodutiva possuem endometriose. Destas, 35 a 50% queixarão de infertilidade. Objetivo: Identificar quais seriam os fatores que associam a endometriose com o desenvolvimento da infertilidade nestas pacientes. Metodologia: A apuração de dados foi realizada através das bases Biblioteca Virtual em Saúde Brasil (BVS) e Pubmed com os descritores "Endometriose", "Endometriosis", "Infertilidade", "Infertility" no título dos artigos e as operações booleanas AND para os termos convergentes e OR para seus respectivos em inglês. Após aplicação dos critérios de inclusão, restaram 914 dos 4.662 artigos encontrados na BvS, que passaram por uma triagem  que visava excluir, pelo título, os artigos que não se adequassem ao tema, restando assim 22 artigos.  Resultados\Discussão: Dos 22 artigos analisados integralmente,  foram selecionados  8 que atendiam aos critérios de inclusão e eram enriquecedores para o desenvolvimento desta revisão. . Pela análise destes estudos , observou-se a existência de uma relação causal da endometriose com a infertilidade ao se analisar a ocorrência de gravidez após o tratamento  e ao se olhar mais a fundo os fatores que levam a endometriose a possivelmente causar a infertilidade Conclusão:Entre os fatores encontrados que se relacionam à patogênese da infertilidade  atribuídos  à endometriose estão  o fator inflamatório devido à diminuição do clearance celular e o déficit das células natural-killers, as diferenças no fluído folicular dessas pacientes e os fatores que influenciam no concepção após a cirurgia de reparação.
Riscos de nefropatia em pacientes submetidos ao procedimento de cateterismo cardíaco e os benefícios do protocolo de hidratação oral
Authors: Caires Laryssa Thompson Vieira , Pereira Ana Paula Martins , Leone Camilla Cristina Lira Di , Nascimento Carmel Carsten do , Macedo Caroline Cabral , Vian Jhonatan Negri , Nobrega Maria Luiza de Ornelas , Galindo Mateus Eduardo Pereira , Borges Rafael Pereira Barcelos Severino , Ventura Rayelly Almeida , Costa Tatiana Vendramini , Magalhães Thamires Augusta , Vian Vinícius Negri
Published: May 2024

De acordo com Guyton, no tratado de fisiologia médica, em geral a nefropatia crônica e a insuficiência renal aguda podem ocorrer a partir de distúrbios nos vasos sanguíneos. A nefropatia causada a partir do uso de contrastes gera complicações graves, seu uso se dá pela necessidade de procedimentos terapêuticos e diagnósticos que envolvem contrastes de administração parenteral. Mesmo com as distintas definições de nefropatia de contrastes entre os estudos, o consenso refere-se a um aumento relativo da creatinina basal igual ou superior a 25%, 48 horas após a administração intravascular. Procedimentos de cateterismo e angioplastia, dentro da cardiologia intervencionista precisam da utilização e administração do meio de contraste iodado (MCI) e raio-x, para que aconteça uma melhor visualização das artérias coronárias e câmaras cardíacas. Na cardiologia, o exame diagnóstico considerado padrão-ouro, é o cateterismo cardíaco, pois permite uma melhor visualização e avaliação das coronárias, podendo perceber obstruções presentes. A etiologia da nefropatia induzida por contraste (NIC) pode estar associada nas características do quadro clínico do paciente quanto às características do contraste utilizado. Portanto a hidratação via oral vem sendo utilizada como uma sugestão em comparação à infusão endovenosa por conta da sua fácil administração e diminuição de recursos hospitalares, além do conforto e praticidade para o paciente, este método vem sendo eficaz e utilizado.
Verificação das boas práticas de manipulação na comercialização de pescados e carnes bovinas na cidade de Maceió - AL
Authors: Souza Eliane Costa , Almeida Emili Elen Lima de , Silva Maria Andrelina da , Costa Fabiana Palmeira Melo
Published: May 2024

Os pescados e a carne bovina são considerados alimentos nobres para o ser humano, pela riqueza de seus nutrientes, no entanto, esses produtos devem ter sua origem conhecida e serem regulamentados por órgãos fiscalizadores para que sua qualidade não seja afetada pelas técnicas utilizadas e manuseio inadequado. O objetivo do presente estudo foi avaliar as Boas Práticas de manipulação dos comerciantes do mercado de pescados, açougues, e mercado público localizados na cidade de Maceió - AL. Foi aplicada de forma observacional, uma lista de verificação de Boas Práticas de Manipulação contendo 11 quesitos. Após a aplicação da lista de verificação foi realizada a classificação do risco de contaminação destes comerciantes. Foi verificado que as bancas do mercado de pescados obtiveram classificação de médio risco de contaminação e os açougues e o mercado da produção alto risco de contaminação. Os quesitos higienização das mãos e a presença de pragas e vetores obtiveram 0% de conformidades. É evidente a necessidade de uma fiscalização maior pelos órgãos competentes, uma vez que pescados e carnes bovinas são extremamente suscetíveis a multiplicação microbiana sendo passível de causar Doenças de Origem Alimentar.
Emergências tireoidianas - crise tireotóxica e coma mixedematoso
Authors: Albieri Arthur Fonseca , Coelho Carolina Cardoso , Naves João Dias Batista Dixini , Rocha João Gabriel Pereira , Pereira Lívia Vilaça Cota
Published: May 2024

Os distúrbios da tireoide, incluindo o hipotireoidismo e o hipertireoidismo, são condições comuns que podem levar a complicações graves se não forem tratados adequadamente. As emergências mais graves associadas à disfunção tireoidiana são o Coma Mixedematoso e a Tempestade Tireoidiana, que apresentam alta mortalidade se não forem diagnosticados e tratados precocemente. A Tempestade Tireoidiana, uma complicação rara do hipertireoidismo, é desencadeada por eventos como infecções graves, procedimentos cirúrgicos ou interrupção abrupta de medicamentos antitireoidianos. Os sintomas incluem febre alta, envolvimento cardiovascular e manifestações neurológicas e gastrointestinais. O diagnóstico é apoiado por critérios clínicos e laboratoriais, com tratamento que envolve medidas de suporte e terapia específica para bloquear a síntese e liberação de hormônios tireoidianos. Por outro lado, o Coma Mixedematoso é a manifestação mais extrema do hipotireoidismo e geralmente afeta mulheres idosas. Pode ser desencadeado por fatores como infecções, clima frio ou uso de certos medicamentos. Os pacientes apresentam alterações do estado mental, hipotermia e acometimento multissistêmico. O diagnóstico é clínico e o tratamento envolve reposição hormonal, correção de distúrbios hidroeletrolíticos e tratamento de infecções associadas. Ambas as condições requerem uma abordagem multidisciplinar em ambiente de cuidados intensivos. O tratamento precoce e adequado é crucial para melhorar o prognóstico do paciente, incluindo medidas para estabilização hemodinâmica, correção de distúrbios hidroeletrolíticos e controle de fatores precipitantes.
Identificação e abordagem de complicações neurológicas pós-COVID-19: uma revisão bibliográfica
Authors: Oliveira Bárbara Rodrigues Amaral de , Cerqueira Carla Thaysa de Melo , Oliveira Davi Gabriel Amaral de , Japiassu Vitor Borges , Castro Gabriel Machado de , Barbosa João de Sousa Pinheiro
Published: May 2024

Este artigo aborda as complicações neurológicas pós-COVID-19, com ênfase na identificação precoce, avaliação clínica e estratégias de abordagem terapêutica. A revisão integrativa da literatura examina as manifestações neurológicas após a infecção por SARS-CoV-2, destacando os sintomas mais comuns, os mecanismos patológicos subjacentes e as ferramentas diagnósticas disponíveis. Além disso, fornece recomendações baseadas em evidências para o manejo clínico e terapêutico dessas complicações, visando melhorar a qualidade de vida dos pacientes afetados e contribuir para uma compreensão mais profunda dessas sequelas neurológicas após a infecção por COVID-19. A pesquisa ressalta a complexidade das complicações neurológicas, sua relação com manifestações psiquiátricas e a importância da vigilância contínua da segurança das vacinas COVID-19.