bluuebunny/crossref_metadata_2025 huggingface dataset:
Legal Barriers and Open Issues for an Effective Implementation of AV in Austria
Authors: Damjanovic Dragana , Wagner Dominik
Published: February 2024

Agrivoltaics (AV) represents a valuable alternative to solve the conflict between the expansion of renewable energy and land consumption in the course of the energy transition. Although the Austrian Renewable Energy Expansion Act (EAG) and accompanying regulations contain some provisions on the eligibility of AV under the national support scheme for renewable energy, the other areas of law affected by AV have not yet been adapted accordingly. In particular, there is a lack of appropriate zoning types in the spatial planning acts of the Länder that could promote multiple uses of land for AV. This results in an unsatisfactory legal framework that poses numerous legal problems for the implementation of AV in Austria. To ensure the long-term implementation of AV, the Austrian legal framework must therefore be adapted accordingly, especially with regard to the creation of suitable zoning types, which take into account various aspects, such as energy production, domestic agricultural production, landscape integration and social acceptance. In the course of this process, questions of competence between the federal government and the Länder will play a decisive role.
Optimised Tracker Algorithm Enables an Agri-PV Plant With Organic Strip Farming and Solar Electricity Generation
Authors: Burgers Antonius R. , Tonnaer Eric , Kooij Carel , Van Aken Bas B.
Published: February 2024

When constructing solar farms, it is important to consider the impact on our living environment and on the use of farmland, ideally contributing to biodiversity and maintaining soil quality. In the Symbizon project, we are developing algorithms for the solar trackers that will balance both crop demands and solar electricity yield. We have simulated the soil irradiance in the farmed strips and determined the annual electricity yield. We varied the algorithm that determines the tracker angle as function of the conditions, including position of the sun, amount of irradiance on panels or on the soil etc. We compare the electricity yield with that of a HSAT PV system with twice the number of trackers and the soil irradiance with that of a field without PV. We show that, for all investigated algorithms, the soil irradiance is at least 60% of the single-use strip farming irradiance. In addition, the electricity production of the agri-PV system varies between 20% and 66% of an optimised HSAT PV system without farming. The next step will be to also optimise the tracker strategy to adapt to local conditions, e.g., allowing more light on the crops during low temperature humid conditions, but shading crops during hot and dry conditions, taking into account actual crop models instead of soil irradiance. Combined, the sum of the relative crop and electricity yield is always larger than 100%, showing that these agri-PV systems make better use of the available land for food and energy harvesting.
Effects of Agricultural Photovoltaic Systems Development on Sweet Potato Growth
Authors: Ali Abaker Omer Altyeb , Liu Wen , Liu Xinliang , Li Ming , Zhang Xinyu , Chen Fangcai , Zheng Jianan , Liu Wenjun , Zhang Fangxin , Ingenhoff Jan , Zhang Zhisen
Published: February 2024

Agricultural Photovoltaic (APV) has become more popular worldwide. Its core idea is to generate electricity and grow crops simultaneously on the same farmland. We developed two APV, Spectrum Splitting and Concentrated APV (SCAPV) and Even-lighting Agricultural Photovoltaic (EAPV). Our previous studies have investigated electricity generation, enhanced growth of plants/crops, and reduced water evaporation simultaneously on the same farmland. Furthermore, SCAPV and EAPV examined the better quality and increased yield of many plants, such as lettuce and cucumber. However, the effects of SCAPV and EAPV on sweet potato quality and yield have not been studied. Therefore, this study aims to investigate the impact of SCAPV and EAPV on evapotranspiration (ET) and sweet potato quality and yield. We conducted three treatments: SCAPV, EAPV, and open-air (CK). We planted 32 m2 of sweet potatoes and placed a weather station in each treatment. Our results showed that the 32 m2 of sweet potato yield under SCAPV, EAPV, and CK were 121.53 kg, 99.55 kg, and 77.84 kg, respectively. The dry rate in CK was 11.75% lower than 13.41% and 13.81% under SCAPV and EAPV, respectively. Soluble sugar content increased under EAPV. Anthocyanin content under SCAPV improved. Therefore, SCAPV and EAPV positively affect dry matter accumulation and enhance the sweet potato's growth. Average ET under SCAPV and EAPV compared with CK significantly reduced by 31% and 23%. SCAPV and EAPV could reduce irrigation and provide feasible green energy and sustainable APV solutions.
Large-Scale Agrivoltaics Visualisations for Assessing Landscape Impacts and Social Acceptance
Authors: Schauppenlehner Thomas , Bittner Karl , Baumgartinger-Seiringer Mathias
Published: February 2024

Visual landscape impacts are of great importance when it comes to social acceptance measures of renewable energy. Although agrivoltaics seems to have higher acceptance values than other renewable energy infrastructures due to the dual land use approach, it is expected that they have a bigger visual impact on the landscape scenery than ground-mounted installations due to the increased land requirements and clearance heights. This article presents the development of a game-based visualisation approach using open-source software and open data (open government data) for visualising energy landscapes by creating large-scale interactive and immersive 3D visualisations. The results show that the use of open geodata and available open-source gaming technologies can be used to create comprehensive digital VR landscapes for assessing the visual impacts of agrivoltaics. Furthermore, the data-driven approach can provide additional indicators for evaluating planning scenarios and investigating the social acceptability due to renewable energy expansion.
AgriPV Systems: Potential Opportunities for Aotearoa–New Zealand
Authors: MacKenzie Donald , Brent Alan , Hinkley James , Burmester Daniel
Published: February 2024

The efficient and effective use of land that agriPV, or agrivoltaic, systems offer is especially appealing for Aotearoa-New Zealand, since more than a third of its land area serves agricultural purposes. However, several factors might constrain the implementation of agriPV systems, and different values and preferences need consideration from a community acceptance perspective. As a first step, a high-level investigation into the potential suitability of agriPV systems in Aotearoa–New Zealand was undertaken. The different factors that influence performance of agriPV systems were considered. Then a GIS analysis was undertaken using the analytical hierarchy process – a multicriteria decision-making technique. The spatial data analysis provided insight to identify the regions in Aotearoa–New Zealand best suited to agriPV systems. Overall, it is estimated that 80 percent of the farmland in the country is either good or fairly suitable for agriPV developments with a number of regions identified as potential areas for further investigations.
Measuring drug use patterns in Queensland through wastewater analysis
Authors: Prichard Jeremy , Lai Foon , Kirkbride Paul , Bruno Raimondo , Ort Christoph , Carter Steve
Published: February 2024

Estimating the use of illicit drugs in the general community is an important task with ramifications for law enforcement agencies, as well as health portfolios. Australia has four ongoing drug monitoring systems, including the AIC’s DUMA program, the National Drug Strategy Household Survey, the Illicit Drug Reporting System and the Ecstasy and Related Drug Reporting System. The systems vary in methods, but broadly they are reliant upon self-report data and may be subject to selection biases. The present study employed a completely different method. By chemically analysing sewerage water, the study produced daily estimates of consumption of methamphetamine, MDMA and cocaine. Samples were collected in November 2009 and November 2010 from a municipality in Queensland, with an population of over 150,000 people. Estimates were made of the average daily dose and average daily street value per 1,000 people. On the basis of estimated dose and price, the methamphetamine market appeared considerably stronger than either MDMA or cocaine. This paper explains the strengths and weaknesses of wastewater analysis. It considers the potential value of wastewater analysis in measuring net consumption of illicit drugs and the effectiveness of law enforcement agency strategies.
How much crime is drug or alcohol related? Self-reported attributions of police detainees
Authors: Payne Jason , Gaffney Antonette
Published: February 2024

Estimating the extent to which criminal activity can be attributed to substance use is a challenging but important task. Quantifying the nexus between drugs and crime contributes to a robust assessment of the cost and burden of alcohol and drug abuse to the Australian community. For the criminal justice system in particular, drug crime estimates, such as those presented in this paper, help to direct more effective targeting of diversion and treatment policies. The present study used new data collected by the AIC’s DUMA program. It examined the self-reported alcohol and drug attributions of 1,884 police detainees from nine separate data collection locations across Australia. The study is the first of its kind to examine attribution estimates for specific drugs and by specific attribution types. Nearly half of all police detainees attributed their current offending to alcohol or drugs—alcohol being more frequently attributed to by detainees than all other drugs combined. Of the illicit drugs, heroin users were the most likely to attribute their offending to drug use, while cannabis users were among the least likely. Surprisingly, of those who attributed their offending to drug use, only 25 percent attributed their crimes to economic factors, such as the need to fund drug addictions, whereas being intoxicated or under the influence of drugs or alcohol were reported as the cause by as many as 40 percent.
Mental disorder prevalence at the gateway to the criminal justice system
Authors: Forsythe Lubica , Gaffney Antonette
Published: February 2024

Many criminal justice practitioners have observed that offenders experience poor mental health. While international studies have found mental health to be poorer among prisoners than in the general population, less information is available either about offenders who are not imprisoned or alleged offenders detained by police. The mental health of offenders is of key policy interest from both health service and crime prevention perspectives. This is the first Australian study to measure the prevalence of mental disorder among offenders nationally, using information provided by 690 police detainees who participated in the Australian Institute of Criminology’s Drug Use Monitoring in Australia (DUMA) program. Around half reported having been diagnosed with a mental disorder in the past. The study was also the first to use the Corrections Mental Health Screen (CMHS), an instrument validated for gender-specific screening, on an Australian offender population. Results suggest that almost half of detainees may have a diagnosable mental disorder at the time of arrest, including 42 percent of women and 28 percent of men with no previous diagnosis. In the routine screening of police detainees as they enter the criminal justice system, the CMHS could be used to identify for the first time those who would benefit from psychological assessment and appropriate intervention.
Burden of routine orthopedic implant removal a single center retrospective study
Authors: AlOmran Ammar K , Alosaimi Nader , Alshaikhi Ahmed A , Bakhurji Omar M , Alzahrani Khalid J , Salloot Basil Ziyad , Alabduladhem Tamim Omar , AlMulhim Ahmed I , Alumran Arwa
Published: February 2024

BACKGROUND

Open reduction and internal fixation represent prevalent orthopedic procedures, sparking ongoing discourse over whether to retain or remove asymptomatic implants. Achieving consensus on this matter is paramount for orthopedic surgeons. This study aims to quantify the impact of routine implant removal on patients and healthcare facilities. A retrospective analysis of implant removal cases from 2016 to 2022 at King Fahad Hospital of the University (KFHU) was conducted and subjected to statistical scrutiny. Among these cases, 44% necessitated hospitalization exceeding one day, while 56% required only a single day. Adults exhibited a 55% need for extended hospital stays, contrasting with 22.8% among the pediatric cohort. The complication rate was 6%, with all patients experiencing at least one complication. Notably, 34.1% required sick leave and 4.8% exceeded 14 d. General anesthesia was predominant (88%). Routine implant removal introduces unwarranted complications, particularly in adults, potentially prolonging hospitalization. This procedure strains hospital resources, tying up the operating room that could otherwise accommodate critical surgeries. Clearly defined institutional guidelines are imperative to regulate this practice.

AIM

To measure the burden of routine implant removal on the patients and hospital.

METHODS

This is a retrospective analysis study of 167 routine implant removal cases treated at KFHU, a tertiary hospital in Saudi Arabia. Data were collected in the orthopedic department at KFHU from February 2016 to August 2022, which includes routine asymptomatic implant removal cases across all age categories. Nonroutine indications such as infection, pain, implant failure, malunion, nonunion, restricted range of motion, and prominent hardware were excluded. Patients who had external fixators removed or joints replaced were also excluded.

RESULTS

Between February 2016 and August 2022, 360 implants were retrieved; however, only 167 of those who met the inclusion criteria were included in this study. The remaining implants were rejected due to exclusion criteria. Among the cases, 44% required more than one day in the hospital, whereas 56% required only one day. 55% of adults required more than one day of hospitalization, while 22.8% of pediatric patients required more than one day of inpatient care. The complication rate was 6%, with each patient experiencing at least one complication. Sick leave was required in 34.1% of cases, with 4.8% requiring more than 14 d. The most common type of anesthesia used in the surgeries was general anesthesia (88%), and the mean (SD) surgery duration was 77.1 (54.7) min.

CONCLUSION

Routine implant removal causes unnecessary complications, prolongs hospital stays, depletes resources and monopolizing operating rooms that could serve more critical procedures.
Assessment of the effectiveness of weight-adjusted antibiotic administration, for reduced duration, in surgical prophylaxis of primary hip and knee arthroplasty
Authors: Okoro Tosan , Wan Michael , Mukabeta Takura Darlington , Malev Ella , Gross Marketa , Williams Claudia , Manjra Muhammad , Kuiper Jan Herman , Murnaghan John
Published: February 2024

BACKGROUND

Prophylactic antibiotics have significantly led to a reduction in the risk of post-operative surgical site infections (SSI) in orthopaedic surgery. The aim of using antibiotics for this purpose is to achieve serum and tissue drug levels that exceed, for the duration of the operation, the minimum inhibitory concentration of the likely organisms that are encountered. Prophylactic antibiotics reduce the rate of SSIs in lower limb arthroplasty from between 4% and 8% to between 1% and 3%. Controversy, however, still surrounds the optimal frequency and dosing of antibiotic administration.

AIM

To evaluate the impact of introduction of a weight-adjusted antibiotic prophylaxis regime, combined with a reduction in the duration of administration of post-operative antibiotics on SSI incidence during the 2 years following primary elective total hip and knee arthroplasty

METHODS

Following ethical approval, patients undergoing primary total hip arthroplasty (THA)/total knee arthroplasty (TKA) with the old regime (OR) of a preoperative dose [cefazolin 2 g intravenously (IV)], and two subsequent doses (2 h and 8 h), were compared to those after a change to a new regime (NR) of a weight-adjusted preoperative dose (cefazolin 2 g IV for patients < 120 kg; cefazolin 3g IV for patients > 120 kg) and a post-operative dose at 2 h. The primary outcome in both groups was SSI rates during the 2 years post-operatively.

RESULTS

A total of n = 1273 operations (THA n = 534, TKA n = 739) were performed in n = 1264 patients. There was no statistically significant difference in the rate of deep (OR 0.74% (5/675) vs NR 0.50% (3/598); fishers exact test P = 0.72), nor superficial SSIs (OR 2.07% (14/675) vs NR 1.50% (9/598); chi-squared test P = 0.44) at 2 years post-operatively. With propensity score weighting and an interrupted time series analysis, there was also no difference in SSI rates between both groups [RR 0.88 (95%CI 0.61 to 1.30) P = 0.46].

CONCLUSION

A weight-adjusted regime, with a reduction in number of post-operative doses had no adverse impact on SSI incidence in this population.
Fire effect on bamboo-dominated forests in Southwestern Amazon: impacts on tree diversity and forest structure
Authors: Silva Izaias Brasil da , Miranda Patrícia Nakayama , Anderson Liana Oighenstein , Jesus Camila Valéria Silva de , Aragão Luiz Eduardo Oliveira Cruz de , Campos Carlos Alberto , Salimon Cleber Ibraim , Rodriguez Anselmo Fortunato Ruiz , Silveira Marcos
Published: February 2024

Severe droughts increase the forest flammability, especially if fires are recurrent. Considering that fires tend to alter the forest structure and reduce biological diversity, we analyzed the fire effect on the tree plant community and forest structure over a 10-year post-fire period. The study was carried out in two tropical forest fragments located in the eastern Acre State in southwestern Brazilian Amazon. In each fragment, we established three plots of 250 × 10 m2 in an unburned forest and three in a burned forest. In these plots, we collected all tree individuals with DBH≥10 following the RAINFOR protocol, with censuses made in 2011, 2014, 2016, 2017, 2019, 2020 and 2021. The fire significantly reduced the abundance, basal area, and aboveground biomass of tree species, and altered the species composition along the post-fire temporal gradient. The absence of differences in the species richness and species diversity between unburned and burned forests is probably related to the life cycle of bamboo. The results suggest that, 10 years after the fire, the structure and phytosociology of the forest have not yet fully recovered.
Formação continuada de professores da educação básica e a inserção de tecnologias educacionais
Authors: Paulin Romanowski Joana , Koffke Buff Rotini Belenice , Aparecido Pinhelli Mendes Ademir
Published: February 2024

O foco deste artigo são os desafios a serem enfrentados na formação continuada dos professores da educação básica quando ao desenvolvimento profissional no que tange as tecnologias educacionais (TICS). Toma por referência uma pesquisa realizada com o objetivo de analisar a formação continuada para a inserção das tecnologias digitais nas práticas pedagógicas da educação básica. A abordagem da pesquisa é qualitativa e a coleta de dados foi realizada por meio de um questionário enviado aos professores e pedagogos. Os fundamentos consideram Marcelo (2006, 2009, 2021); Nóvoa (2019), Saviani (2012), entre outros. Os resultados indicam que a formação continuada motivou os professores a inserirem as TICS na prática pedagógica e evidenciou a necessidade de investir nas condições dos equipamentos tecnológicos das escolas, pois ainda são precários impossibilitando a imersão de professores e estudantes em aprendizagens com a imersão em tecnologias.
Crítica textual e ensino: análise filológica de crônicas em livros didáticos
Authors: Pereira Bárbara Bezerra de Santana
Published: February 2024

O presente artigo expõe o resultado da pesquisa na qual analisamos, através de parâmetros filológicos, crônicas do escritor capixaba Rubem Braga, presentes em livros didáticos de Língua Portuguesa, aprovados pelos PNLD dos anos de 1999, 2002 e 2005. Objetivamos com este trabalho analisar o processo de transmissão desse gênero textual, averiguando a existência de divergências, denominadas de variantes, entre o texto transcrito no livro didático e o que é indicado por este como referência / fonte. A partir do exercício de cotejo entre testemunhos, da identificação das variantes e suas classificações, a saber - omissão, adição, substituição e alteração da ordem (BLECUA,1983) - buscamos levantar hipóteses motivacionais para tais variantes, levando-se em consideração o contexto de produção e circulação dos materiais didáticos examinados. Constatamos, então, que o contexto discursivo do Livro Didático de Língua Portuguesa como um todo contribui para a existência de variantes textuais. A análise empreendida gerou como resultado a percepção de que existem diversas motivações para a produção dessas variantes, tais como: censura, abrandamento vocabular, fuga de aprofundamento de discussões que possam ser consideradas inadequadas ou desnecessárias ao público leitor, simplificação do texto com intuito de resumi-lo para disponibilização de espaço gráfico, correção gramatical, erro de cópia, entre outros. Com esse estudo buscamos refletir acerca da contribuição dos estudos filológicos para o campo ensino e para a prática pedagógica.
STUDI SIFAT FISIK DAN KENYAMANAN KAIN MUKENA
Authors: Wanti Ria , Baraja Shafira Fitri , Permana M. Indra , Purnomosari Endah , Salis Witri Aini
Published: February 2024

Mukena merupakan produk yang sering digunakan khususnya oleh wanita muslim untuk beribadah, dimana penggunaannya sebanyak 5 kali dalam sehari. Selain itu penggunaan mukena untuk ibadah haji atau umroh juga menjadi perhatian, karena penggunaannya di luar ruangan dan dalam jangka waktu yang panjang. Oleh karena itu sangat penting untuk memilih mukena yang baik dan nyaman digunakan. Pada penelitian ini diambil 5 buah sampel mukena yang beredar di pasaran, kemudian menguji sifat fisik kelima sampel tersebut berdasarkan SNI 8856:2020 serta kenyamanannya menggunakan alat Fabric Touch Tester (FTT), Moisture Management Tester (MMT) dan Sweating Guarded Hot Plate (SGHP). Hasil pengujian menunjukan bahwa sampel mukena CTP yang berbahan baku 100% kapas tidak memenuhi standar mutu kekuatan tarik dan stabilitas dimensi, namun memiliki nilai resistansi termal kering dan resistansi evaporasi termal yang paling tinggi. Sedangkan sampel PEP2 memiliki nilai resistansi evaporasi termal yang paling rendah, namun memiliki grade Accumulative One-Way Transport Index (AOTI) yang paling tinggi. Penelitian ini masih perlu dilanjutkan terutama untuk dilakukan pengujian kimia untuk mengetahui sifat-sifat kimia dari sampel-sampel mukena tersebut.
Rezension von: Militzer, Klaus, Die Entstehung der Deutschordensballeien im Deutschen Reich
Authors: König Hans-Joachim , Militzer Klaus
Published: February 2024

Klaus Militzer: Die Entstehung der Deutschordensballeien im Deutschen Reich (= Quellen und Studien zur Geschichte des Deutschen Ordens 16). 2. überarb. und erw. Aufl. Marburg: Elwert 1981. 219 S., 17 Abb., 1 Faltkarte.
Rezension von: Geologisches Landesamt Baden-Württemberg (Hrsg.), Obersontheim
Authors: Hagdorn Hans , Geologisches Landesamt Baden-Württemberg
Published: February 2024

Geologische Karte von Baden-Württemberg 1:25000, Blatt 6925 Obersontheim. Hrsg. vom Geolog. Landesamt Baden-Württemberg. Erläuterungen von D. Göhner [u.a.]. Mit Beiträgen von R. Hüttner [u.a.]. Stuttgart: Landesvermessungsamt Baden-Württemberg 1982. 143 S., 4 Abb., 8 Taf., 3 Beil.
Rezension von: Real, Willy, Die Revolution in Baden 1848/49
Authors: Fritz Gerhard , Real Willy
Published: February 2024

Willy Real: Die Revolution in Baden 1848/49. Stuttgart: Kohlhammer 1983. 203 S.
Rezension von: Lässing, Horst u.a., An Rems und Murr
Authors: König Hans-Joachim , Lässing Horst
Published: February 2024

An Rems und Murr: Ein Bildband mit einer Einführung von Otto Heuscheie; Texte: Horst Lässing, Heidi-Barbara Kloos und Rolf Schweizer; Fotos: Traute Uhland-Clauss, Albrecht Brugger u.a. Stuttgart, Aalen: Theiss 1975. 176 S., 116 Abb., davon 8 farb.
Rezension von: Annales de la Société d’Emulation du Département des Vosges. Neue Folge 1
Authors: Wunder Gerd
Published: February 2024

Annales de la Société d’Emulation du Département des Vosges. Neue Folge 1, 1983. 112 S., Ill.
Rezension von: Schramm, Godehard, Ein Dorf auf der Frankenhöhe
Authors: Pastor Egil , Schramm Godehard
Published: February 2024

Godehard Schramm: Ein Dorf - Auf der Frankenhöhe. München: Delp 1981. 175 S.
Rezension von: Barth, Ulrich, Zur Geschichte des Basler Goldschmiedehandwerks (1261-1820)
Authors: Wunder Gerd , Barth Ulrich
Published: February 2024

Ulrich Barth: Zur Geschichte des Basler Goldschmiedehandwerks (1261-1820). Basel, Diss. (1974). Muttenz 1978. 200 S.
Multimodal Emotion Recognition System Using Machine Learning Classifier
Authors: Prabha R.
Published: February 2024

Multi-modal emotion recognition refers to the process of identifying human emotions using information from multiple sources, such as facial expressions, voice intonation, EEG signals etc. Ultimately, emotion recognition is poised to play a pivotal role in healthcare, education, customer service etc. As we progress, it is imperative to address privacy concerns associated with this technology in a responsible manner. Challenges in multi-modal emotion recognition include aligning data from different modalities in time, dealing with noisy or incomplete information. In this paper, we aim to address this issue by employing the SVM as our machine learning classifier. Here we use IEMOCAP for speech and video and DEAP dataset for EEG signals. After applying SVM we got 76.22 % accuracy for IEMOCAP and 68.89 % accuracy for DEAP dataset.
Public health, information infrastructure and border objects: the construction of open databases for the judicialization of health
Authors: Barbosa Janio Gustavo , Guimarães Maria Cristina Soares , Schulze Clênio Jair
Published: February 2024

The judicialization of health is a dense and multifaceted topic that encompasses various interfaces: social, political, legal, and administrative. Due to this, any analysis demands an interdisciplinary and multidimensional approach. Moreover, the absence of organized and categorized databases hinders a secure analysis of the issue. In this context, the aim of this paper is to introduce a methodology for the automated assembly of open, accessible, shareable, and secure databases on the judicialization of health, grounded in the concept of information infrastructure and the Judicialization 2.0 paradigm. The data assembly methodology, utilizing the Electronic Justice Journal (DJe), resulted in the JUDJe information system, an information infrastructure based on machine learning, to gather more accurate and reliable data on the judicialization of health in Brazil, drawing from the interdisciplinary dialogue inherent in this concept.
PEMERIKSAAN KECACINGAN (SOIL TRANSMITTED HELMINTHS) DENGAN PENGARUH PHBS PADA ANAK DI DESA KARADENAN KABUPATEN BOGOR
Authors: Kurniawan Muhammad Rizki , Nirwana Rima , Yansen Aturut
Published: February 2024

Kecacingan merupakan infeksi parasit berupa masuknya cacing ke dalam tubuh manusia. Salah satu faktor yang menyebabkan kecacingan adalah personal hygiene. Penularan kecacingan  dapat terjadi apabila seseorang mempunyai personal hygiene yang buruk. Salah satu tempat yang memiliki risiko kecacingan adalah Desa yang kumuh. Penelitian ini bertujuan untuk menganalisis hubungan pemeriksaan kecacingan  (Soil Transmitted Helminths)  dengan pengaruh PHBS Pada Anak di Desa Karadenan Kabupaten Bogor. Jenis penelitian ini adalah Analitik dengan desain penelitian cross sectional. Sampel dalam penelitian ini adalah 99 orang yang memenuhi kriteria inklusi dan eksklusi dengan teknik pengambilan sampel purposive sampling. Pengumpulan data dilakukan dengan pengisian kuesioner dan pemeriksaan kecacingan (soil transmitted helminths) dengan metode natif. Pengolahan data menggunakan software statistika dengan uji Chi square. Hasil penelitian didapatkan ada hubungan antara pemeriksaan kecacingan dengan pengaruh PHBS Pada Anak di Desa Karadenan Kabupaten Bogor. Meskipun pada kenyataannya personal hygiene tidak menjadi penentu seseorang terkena kecacingan atau tidak, karena kecacingan juga dapat disebabkan oleh kondisi lingkungan, kelembapan suhu dan kepadatan penghuni.
Tingkat Kecemasan dengan Perilaku Protokol Kesehatan
Authors: Amalia Kiki , Maria Insana
Published: February 2024

Pendahuluan : Pada Desember 2019, sejumlah pasien dengan pneumonia misterius dilaporkan untuk pertama kalinya di Wuhan, Cina. Virus ini telah dinamai sindrom pernapasan akut parah coronavirus 2 (SARS-CoV-2). Coronavirus 2 (SARS-CoV-2)dapat menimbulkan perasaan takut akan tertular dan kecemasan. Penelitian ini bertujuan untuk melihat Hubungan Tingkat Kecemasan Dengan Perilaku Protokol Kesehatan Di Desa Sungai Riam Kec. Pelaihari Kab.Tanah Laut. Penelitian ini bertujuan untuk mengetahui tingkat kecemasan masyarakat dengan perilaku protokol kesehatan di Desa Sungai Riam Kec. Pelaihari Kab.Tanah Laut.
Metode : Desain Penelitian yang digunakan adalah rancangan analitik korelasional dengan jenis cross sectional. Sampel yang digunakan adalah sebesar 100 responden dan pengambilan data menggunakan kuesioner.
Hasil : Hasil penelitian menunjukkan mayoritas kecemasan masyarakat Desa Sungai Riam yaitu tidak mengalami kecemasan (74%), mayoritas responden sejumlah 61 (61%) memiliki perilaku yang melakukan protokol kesehatan. Ada Hubungan Tingkat Kecemasan Dengan Perilaku Protokol Kesehatan Di Desa Sungai Riam Kec. Pelaihari Kab. Tanah Laut Tahun 2020 (p = 0,000< (α = 0,05).
Kesimpulan : Ada Hubungan antara tingkat kecemasan dengan perilaku protocol kesehatan sehingga diharapkan masyarakat tetap waspada dan menjalankan protokol kesehatan selama masa pandemi COVID-19.
Artificial intelligence applied in water optimization in agricultural crops (OTIMAGRI)
Authors: Bôas Júnior Manoel Villas , Delgado Angel Ramon Sanchez , Cavalcante Júnior Jose Airton Chaves , Rodriguez Maria Claudia
Published: February 2024

This study introduces an innovative optimization system for agriculture, utilizing the Particle Swarm Optimization (PSO) algorithm. This system focuses on maximizing net revenue in agricultural contexts while simultaneously minimizing the consumption of natural resources and inputs, with particular attention to the efficient use of water. A distinctive feature of the system is its versatility and accessibility, being designed for easy implementation on smartphones, which broadens its reach to a variety of users, from small to large-scale farmers. The efficiency and speed in obtaining results are key aspects of this system, facilitating a more agile and informed decision-making process in the agricultural sector. The PSO algorithm, which forms the basis of the system, effectively identifies the optimal balance between input consumption and crop productivity. This study validated the system through comparisons with available literature data, focusing on specific crops such as iceberg lettuce and melon. The results not only showed consistency with existing data but in some cases, exceeded expectations. In conclusion, this system represents a significant contribution to modern agriculture, offering a reliable and easily accessible tool for economic decision-making. The ability to quickly adapt to different types of inputs, compatibility with mobile devices, and the ease of incorporating new production functions, regardless of complexity or the number of inputs, highlight the flexibility and practical relevance of this technological innovation.
Institutional-territorial arrangements and urban regimes: the residential verticalization process in Imperatriz (MA)
Authors: Da Silveira Keilha Correia , Pimentel Neto José Geraldo , Da Silva Tiago dos Santos , Andrade Tiago da Silva
Published: February 2024

The project characterizes the institutional arrangements and urban regimes, verifying these factors in the urban space of Imperatriz (MA), by the role played in the framework of governance, facing the spatial dynamics in the institutional, political, economic and social articulations.  Thus, it makes approaches focused on the urban growth of the process of verticalization of housing in the context of the residential real estate market of the second largest city of the state of Maranhão. Covering the study of public-private relations in the construction of urban space in the occasion of the coalitions in the middle city, thus seeking to understand the major urban projects, analyzing the forms of power and influence that present a certain role exercised in the urban-regional development. Therefore, using the case study methodology, this research aims to understand the Institutional Arrangements and Urban Regimes from the perspective of the governance of the city of Imperatriz (MA), focusing the process of verticalization of housing from the real estate market, verifying the dynamics of institutional coalitions from urban planning and management. The research has its importance in the development of research with an emphasis on urban geography, in the perspective of the understanding of institutional arrangements, urban regimes and institutional coalitions configurations in the local-regional scenario, which configure and produce the urban space of the city of Imperatriz (MA). Therefore, this research will demonstrate strategic decision situations in the urban dynamics of housing, services and the logic of the housing real estate market, verifying the process of verticalization in the city of Imperatriz (MA).
Excavation in the Museum’s Deposits. Early Modern Objects Discovered by Béla Pósta in 1904 in the Calvinist Church of Tirimia (Mureș County)
Authors:   Muzeul Național de Istorie a Transilvaniei, Cluj-Napoca, Demjén Andrea
Published: February 2024

This article tries to present the story of the archaeological excavation carried out by Béla Pósta in the Calvinist church of Tirimia (Hung. Nagyteremi, Germ. Gross‑Wachsdorf, Mureș County) in 1904 and to analyze the objects discovered on that occasion, preserved today in the patrimony of the National Museum of Transylvanian History in Cluj‑Napoca. Reconstructing an excavation carried out almost 120 years ago, when the archaeology of medieval and early modern churches was in its infancy, based exclusively on objects kept in museum repositories and on letters/diaries of the period, is a difficult task. From the correspondence between Béla Pósta and the people directly or indirectly involved (the Calvinist priest of the village of Tirimia, Márton Kakasy; the local landowner Baron László Solymosy, etc.) and from the personal diaries of Lajos Kelemen we can partially reconstruct the archaeological excavations, the scandal that followed, and later the fate of the objects discovered during the research.
Analysis of channel performance in modern digital communication technology and understanding the enhancement of channel performance
Authors: Chen Xuqi
Published: February 2024

With the rapid development of the information age, the demands on communication technology continue to grow. As a crucial communication method, digital communication systems play a vital role in achieving efficient transmission speeds and reliability. This paper centers around modulation techniques within digital communication systems, with a specific emphasis on the analysis of reducing bit error rates and enhancing transmission speeds. Consequently, this study delves into the current methods employed for achieving an all-encompassing optimization of both transmission speed and reliability, while also proposing novel insights. The paper will detail the benefits and drawbacks of contemporary noise processing techniques that aim to enhance channel performance and explore methods for their improvement.
Research on sound signal filtering and processing delay based on multiple receivers
Authors: Wang Bingding
Published: February 2024

With the rapid development of modern communication and audio technology, sound signal processing has become more and more important. This paper deeply explores the potential of multi-receiver audio signal processing technology based on practical application scenarios, and studies the effect of beamforming technology and adaptive noise cancellation algorithm on audio signal quality improvement. Experimental results show that with proper technology selection and framework design, the audio signal processing effect in complex environments can be significantly improved. In addition, this paper also predicts the trend of signal filtering and processing in the future and puts forward suggestions for the application of deep learning in this field, the research of adaptive algorithms, the fusion of multi-sensor information, the optimization of computational efficiency, and the establishment of real scene simulation. Overall, sound signal processing has great potential and opportunities in practical applications, which are worthy of further research and exploration.
Current study on human-computer interaction in machine learning
Authors: Cai Yalan , Lu Yuyang
Published: February 2024

Machine learning has become one of the research hotspots at home and internationally due to the continued growth of artificial intelligence, and the application of machine learning is more and more widely developed. In the process of applying machine learning methods to real problems, there are defects that lead to biased results. This paper discusses the importance and necessity of human-machine interaction in the application of machine learning methods, as well as where human-machine interaction occurs, and puts forward two questions: "whether human should interact with machine in the process of machine learning" and "how to make machine learning have better performance". To answer the above two questions, this paper concludes that in the application of machine learning methods, people with certain professional knowledge can get better results in the machine learning process. Further, when machine learning is applied to the real world, there are some flaws that lead to failure or unsatisfactory results, and this paper proposes a way to improve this undesirable phenomenon by involving people in the machine learning process. Finally, this paper summarizes the main shortcomings of current machine learning, clarifies the development direction of machine learning that must be anthropocentric, and expresses some views on machine learning.
Research on image recognition in human-computer interaction based on convolutional neural networks
Authors: Yang Kairan
Published: February 2024

Image recognition is an important research direction in human-computer interaction, which has broad development prospects, aiming at enabling computers to understand and interpret image content. Early image recognition methods mainly rely on hand-designed feature extraction algorithms for image analysis and classification. However, this method has significant limitations, which may not provide accurate recognition results for complex images and is hard to adapt to different application scenarios. With the advancement of deep learning and increased processing power in recent years, Convolutional neural network (CNN) -based image recognition methods have achieved remarkable achievements in human-computer interaction. Therefore, based on the image recognition of CNN in human-computer interaction, this paper first studies the CNN model in depth then describes the application of CNN in human-computer interaction, then enumerates different design methods for comparative analysis, and finally summarizes the advantages and disadvantages of CNN in application and proposes improvements to existing problems. The research shows that image recognition based on CNN is better than the traditional network model and has higher accuracy, but it still has some disadvantages. To address these issues and produce more effective and precise image understanding and interaction, it is required to research and enhance the model's structure and algorithm. The appearance and development of CNN have greatly promoted the development of image recognition technology, which has been widely used in human-computer interaction and has made great breakthroughs.
Human-computer interaction: Evaluation of trust and emotional
Authors: Wang Siyi
Published: February 2024

With the advancement of information technology, human-computer interaction is becoming increasingly intelligent. This progress has led to the transformation of the car cabin from a simple driving space to an intelligent mobile life terminal. At the same time, more and more people have psychological problems in modern society, and timely adjustment of their negative emotions is of great practical significance to social harmony and stability. Traditional methods of emotion regulation require a lot of manpower and energy. Hence, this paper presents an approach that utilizes text dialogue and somatosensory interaction to detect the users emotions and subsequently adjust them. By examining and analyzing the current research landscape, the objective of this study is to offer insights for designing trustworthy and emotionally-responsive interactions in the automotive context. It can bring a better driving experience to smart car users and bring benefits to many companies. It is of great scientific and application value to carry out this research in depth to promote the development of human-computer interaction. Through literature review, case study, theoretical analysis and other research methods. This paper sorts out the establishment of trust degree and recognition of emotional changes in human-computer interaction, and puts forward the role, defects and improvements of trust establishment in human-car cooperation, as well as the reasons affecting user emotions, and how to improve the defects of the application of voice emotion recognition. It also discusses difficulties in establishing trust and misperception of emotions.
Combination of Chinese sentiment analysis datasets based on BiLSTM+Attention model
Authors: Jiang Kaiyuan
Published: February 2024

By training the Chinese sentiment analysis model, it is found that the prediction accuracy of the model trained by one dataset is obviously low on other datasets. Considering that the existing sentiment analysis work mainly uses a single domain corpus dataset and referring to the existing data processing methods on natural language processing, this paper designs an experiment to combine Chinese datasets from different fields into a large field-imbalanced dataset, and the number of samples from different fields in this dataset is obviously different. The new dataset is used to train a comprehensive Chinese sentiment analysis model and achieves satisfactory training results. According to the results of the experiments, the model trained by the field-imbalanced dataset has high prediction accuracy for samples from various fields, and the prediction accuracy increases with the increase of the proportion of corpus in this field in the training dataset. Through the experiment in this paper, some ideas are provided for the construction of large-scale cross-domain Chinese sentiment analysis datasets in the future.
Ensuring the security of the Internet of Things: A deep dive into current network weaknesses and approaches for strengthening
Authors: Li Yuxuan
Published: February 2024

As the Internet of Things (IoT) rapidly takes center stage in today's digital revolution, its integration across various sectors is becoming remarkably ubiquitous. Nevertheless, with the accelerated adoption of IoT, a surge of security concerns has concurrently surfaced. Acknowledging this paradigm, this article delves deep into the underlying architecture of IoT systems, spotlighting their constituent elements and the complex interplay between them. Through meticulous literature reviews and scrutiny of real-world incidents, the most prevalent security vulnerabilities inherent to these systems are pinpointed. For each identified vulnerability, a suite of protective countermeasures is meticulously crafted, underscoring the imperative to preemptively tackle these security gaps. It's paramount to recognize that IoT system security isn't merely a technical requisite but a cornerstone ensuring the system's integrity and resilience. As businesses and individuals increasingly rely on IoT for their day-to-day operations, prioritizing security isn't just a luxury; it's an absolute necessity. Developers and users alike must remain vigilant, consistently updating and fortifying their systems. In doing so, the full potential of IoT can be harnessed while minimizing risks, ensuring that these systems remain both robust and trustworthy in an ever-evolving digital landscape.
Face perception in deep learning and safety
Authors: Xie Yiyun
Published: February 2024

Face perception are very useful and common in our daily life today. Not only in the unlock phone but also in some crime situation. This article will introduce several way for computer to do the face perception. In this article, I will introduce the modern majority way to do the face perception. The common way to reading face is whether separate in different part or building 3D figure for face. There are several advantage by using different way like Face net, Fece++. They could be used in different condition. After reading the image from picture, we need to train computer to do the match and do better. This is the machine learning, the best tool today is CNN or python. Even all of face perception tool could not handle the low quality picture or video, but they could have 90% accuracy in certain condition. That is the accuracy for human to do it, but computer have faster speed in face perception than people did.
A parallel Breadth-First Search using shared memory level-synchronization
Authors: Zheng Kaiwen
Published: February 2024

Breadth-first search (BFS) stands as a cornerstone in graph exploration techniques, enabling systematic traversal of a provided graph. As the digital era continues to burgeon, there has been a marked upswing in the need to process vast graph-based data sets. To harness the power of such data effectively, it becomes imperative to use computational tools efficiently. Parallelizing BFS emerges as a pivotal strategy in this regard, leveraging the expansive capabilities of multiprocessor systems to maximize efficiency. This manuscript introduces a level-synchronous parallel BFS that is predicated on the shared-memory model. Recognizing the potential pitfalls of such an approach, especially regarding overhead induced by implicit barriers and critical sections, meticulous optimization techniques are infused into the model. These strategies are not mere afterthoughts; they are woven into the fabric of the design, ensuring smooth operations even when scaled. To validate the efficacy of this model, a rigorous assessment is carried out using the Graph500 benchmark. This offers insights into the performance scale of the parallel BFS algorithm, especially focusing on its speedup in relation to the number of operational threads. Concluding this exploration, the paper delineates prospective avenues for refining and further enhancing the proposed parallel implementation, aiming for even greater efficiencies in future endeavors.