bluuebunny/crossref_metadata_2025 huggingface dataset:
Shading Effect of Transparent Photovoltaic Panels on Crops Underneath Agrivoltaic Systems
Authors: Seyedpour Esmaeilzad Nasim , Gürsel Dino İpek , Güney Dilara , Ersoy Yıldırım Yusuf , Turan Raşit , Özden Talat
Published: February 2024

Agrivoltaic systems combine soil-grown crops with photovoltaic (PV) panels erected several meters above the ground. Combining solar panels and food crops on the same land can maximize land utilization. Under the PV panels, however, microclimate factors like solar radiation, air temperature, humidity, and soil temperature change. An agrivoltaic system must optimize sunlight sharing between solar panels and crops to maximize food energy production. It has been challenging to improve and analyze the performance of agrivoltaic systems due to the lack of a defined crop-specific parameter. In this work, we present a practical option to partially replace bifacial modules with semi-transparent ones, providing comparable levels of crop protection and greater climate change resilience while generating green energy and increasing land-use efficiency. The agrivoltaic system must be tailored to satisfy the needs of crops. For this purpose, a simulation model was conducted, which examined the impact of module transparency and cell layout based on light availability.
Youth (in)justice: Oral language competence in early life and risk for engagement in antisocial behaviour in adolescence
Authors: Snow Pamela , Powell Martine
Published: February 2024

Youth offenders are complex and challenging for policymakers and practitioners alike and face high risks for long-term disadvantage and social marginalisation. In many cases, this marginalisation from the mainstream begins in early life, particularly in the classroom, where they have difficulty both with language/literacy tasks and with the interpersonal demands of the classroom. Underlying both sets of skills is oral language competence—the ability to use and understand spoken language in a range of situations and social exchanges, in order to successfully negotiate the business of everyday life. This paper highlights an emerging field of research that focuses specifically on the oral language skills of high-risk young people. It presents evidence from Australia and overseas that demonstrates that high proportions (some 50% in Australian studies) of young offenders have a clinically significant, but previously undetected, oral language disorder. The evidence presented in this paper raises important questions about how young offenders engage in forensic interviews, whether as suspects, victims or witnesses. The delivery of highly verbally mediated interventions such as counselling and restorative justice conferencing is also considered in the light of emerging international evidence on this topic.
Computer security threats faced by small businesses in Australia
Authors: Hutchings Alice
Published: February 2024

The internet is an affordable and effective place for small businesses to sell and promote their goods and services. However, the internet also provides opportunities for fraudulent behaviour and unauthorised access to business and client data. Attacks on the computer system of a business can have immediate and ongoing effects, such as targeting customers for identity crimes or infecting website visitors with malicious software. It is contended that small businesses in Australia have been slow to implement security technology and policies that may protect their information systems, making them vulnerable to current and future threats. In this paper, an attempt is made to educate small business owners about the risks that they face and the mitigation strategies they could employ to make their organisation safer.
Review and update on the management of triangular fibrocartilage complex injuries in professional athletes
Authors: Pace Valerio , Bronzini Francesco , Novello Giovanni , Mosillo Giuseppe , Braghiroli Luca
Published: February 2024

Triangular fibrocartilage complex injuries are common in amateur and professional sports. These injuries are mainly caused by acute or chronic repetitive axial loads on the wrist, particularly on the ulnar side and in association with rotations or radial/ulnar deviations. In order to treat professional athletes, a detailed specific knowledge of the pathology is needed. Moreover, the clinician should fully understand the specific and unique environment and needs of the athletes, their priorities and goals, the type of sport, the time of the season, and the position played. An early diagnosis and appropriate management with the quickest possible recovery time are the uppermost goals for both the athlete and the surgeon. A compromise between conservative vs surgical indications, athletes’ needs and expectations, and financial implications should be achieved. Arthroscopic procedures should be timely planned when indicated as they could allow early diagnosis and treatment at the same time. Conservative measures are often used as first line treatment when possible. Peripheral lesions are treated by arthroscopic repair, whilst central lesions are treated by arthroscopic debridement. Further procedures (such as the Wafer procedure, ulnar osteotomies, etc. ) have specific indications and great implications with regard to rehabilitation.
Academic productivity correlates with industry earnings in foot and ankle fellowship programs in the United States: A retrospective analysis
Authors: Anastasio Albert T , Baumann Anthony N , Walley Kempland C , Hitchman Kyle J , O’Neill Conor , Kaplan Jonathan , Adams Samuel B
Published: February 2024

BACKGROUND

The study investigates the connection between academic productivity and industry earnings in foot and ankle orthopedic surgery fellowships. Utilizing metrics like the H-index and Open Payments Database (OPD) data, it addresses a gap in understanding the relationship between scholarly achievements and financial outcomes, providing a basis for further exploration in this specialized medical field.

AIM

To elucidate the trends between academic productivity and industry earnings across foot and ankle orthopedic surgery fellowship programs in the United States.

METHODS

This study is a retrospective analysis of the relationship between academic productivity and industry earnings of foot and ankle orthopedic surgery fellowships at an individual faculty and fellowship level. Academic productivity was defined via H-index and recorded from the Scopus website. Industry earnings were recorded from the OPD.

RESULTS

Forty-eight foot and ankle orthopedic surgery fellowships (100% of fellowships) in the United States with a combined total of 165 physicians (95.9% of physicians) were included. Mean individual physician (n = 165) total life-time earnings reported on the OPD website was United States Dollar (USD) 451430.30 ± 1851084.89 (range: USD 25.16-21269249.85; median: USD 27839.80). Mean physician (n = 165) H-index as reported on Scopus is 14.24 ± 12.39 (range: 0-63; median: 11). There was a significant but weak correlation between individual physician H-index and individual physician total life-time earnings (P < 0.001; Spearman’s rho = 0.334) and a significant and moderate positive correlation between combined fellowship H-index and total life-time earnings per fellowship (P = 0.004, Spearman’s rho = 0.409).

CONCLUSION

There is a significant and positive correlation between academic productivity and industry earnings at foot and ankle orthopedic surgery fellowships in the United States. This observation is true on an individual physician level as well as on a fellowship level.
Limb Lengthening and Reconstruction Society orthopedic surgeons in the United States: An analysis of geographical distribution, academic, leadership, and demographic characteristics
Authors: Hoveidaei Amir Human , Niakan Reza , Hosseini-Asl Seyed Hossein , Annasamudram Abijith , Conway Janet D
Published: February 2024

BACKGROUND

The Limb Lengthening and Reconstruction Society (LLRS) is a premier orthopedic specialty organization that promotes limb reconstruction for all ages. LLRS membership characteristics, however, are poorly reported. This study delineates orthopedic surgeon LLRS members’ demographic traits, academic achievement, leadership attainment, and geographical distribution across the United States.

AIM

To inform aspiring orthopedic professionals, as well as to promote growth and diversity in both the LLRS organization and overarching field.

METHODS

This cross-sectional study examined United States LLRS members’ academic, leadership, demographic, and geographical attributes. After reviewing the 2023 LLRS member directory, Google search results were matched to the listings and appended to the compiled data. Sex and ethnicity were evaluated visually utilizing retrieved images. The Hirsch index (H-index) of academic activity, residency and fellowship training, other graduate degrees, leadership positions, practice type (academic or non-academic), and spoken languages were categorized. LLRS members per state and capita determined geographic distribution. The Mann-Whitney U test was applied to compare H-index between males and females, as well as to assess member differences pertaining to affiliation with academic vs non-academic practice facilities.

RESULTS

The study included 101 orthopedic surgeons, 78 (77.23%) Caucasian and 23 (22.77%) non-Caucasian, 79 (78.22%) male and 22 (21.78%) female. Surgeons with DO degrees comprised only 3.96% (4) of the cohort, while the vast majority held MDs [96.04% (97)]. Mean H-index was 10.55, with male surgeons having a significantly higher score (P = 0.002). Most orthopedic surgeons (88.12%,) practiced in academic centers. Of those professionals who occupied leadership positions, 14% were women, while 86% were men. Additionally, 19 (37.25%) United States regions and the District of Columbia lacked an LLRS-member orthopedic surgeon. Total per capita rate across the United States was 0.30 LLRS orthopedic surgeons per 1 million people.

CONCLUSION

Over 21% of LLRS members are women, surpassing prior benchmarks noted in orthopedic faculty reporting. LLRS members’ high research productivity scores imply field dedication that can refine expertise in the limb lengthening and reconstruction space. Gender disparities in leadership remain, however, necessitating greater equity efforts. A low rate of LLRS representation per capita must be addressed geographically as well, to affect improvements in regional care access. This study can serve to support aspiring orthopedic professionals, inform diversity, leadership, and field advancement strategies, and maintain the continued goal of enhanced patient care worldwide.
High rate of clinically relevant improvement following anatomical total shoulder arthroplasty for glenohumeral osteoarthritis
Authors: Nyring Marc Randall Kristensen , Olsen Bo Sanderhoff , Amundsen Alexander , Rasmussen Jeppe Vejlgaard
Published: February 2024

BACKGROUND

The minimal clinically important difference (MCID) is defined as the smallest meaningful change in a health domain that a patient would identify as important. Thus, an improvement that exceeds the MCID can be used to define a successful treatment for the individual patient.

AIM

To quantify the rate of clinical improvement following anatomical total shoulder arthroplasty for glenohumeral osteoarthritis.

METHODS

Patients were treated with the Global Unite total shoulder platform arthroplasty between March 2017 and February 2019 at Herlev and Gentofte Hospital, Denmark. The patients were evaluated preoperatively and 3 months, 6 months, 12 months, and 24 months postoperatively using the Western Ontario Osteoarthritis of the Shoulder index (WOOS), Oxford Shoulder Score (OSS) and Constant-Murley Score (CMS). The rate of clinically relevant improvement was defined as the proportion of patients who had an improvement 24 months postoperatively that exceeded the MCID. Based on previous literature, MCID for WOOS, OSS, and CMS were defined as 12.3, 4.3, and 12.8 respectively.

RESULTS

Forty-nine patients with a Global Unite total shoulder platform arthroplasty were included for the final analysis. Mean age at the time of surgery was 66 years (range 49.0-79.0, SD: 8.3) and 65% were women. One patient was revised within the two years follow-up. The mean improvement from the preoperative assessment to the two-year follow-up was 46.1 points [95% confidence interval (95%CI): 39.7-53.3, P < 0.005] for WOOS, 18.2 points (95%CI: 15.5-21.0, P < 0.005) for OSS and 37.8 points (95%CI: 31.5-44.0, P < 0.005) for CMS. Two years postoperatively, 41 patients (87%) had an improvement in WOOS that exceeded the MCID, 45 patients (94%) had an improvement in OSS that exceeded the MCID, and 42 patients (88%) had an improvement in CMS that exceeded the MCID.

CONCLUSION

Based on three shoulder-specific outcome measures we find that approximately 90% of patients has a clinically relevant improvement. This is a clear message when informing patients about their prognosis.
A Didática Crítica Multidimensional Emancipadora: pela superação do neotecnicismo
Authors: Oliveira Sheila Santos de
Published: February 2024

Este texto tem como objetivo compreender os fundamentos da Didática Crítica Multidimensional Emancipadora como uma das didáticas emergentes que se constitui no movimento de crítica e ruptura com as políticas neoliberais, neoconservadoras e neotecnicista, a favor da formação humana. Buscamos evidenciar também do ponto de vista epistemológico e teórico metodológico a sua importância como possibilidade de práxis pedagógica nos espaços educativos. O trabalho se constitui com uma pesquisa de cunho qualitativo e bibliográfica que iniciou com os estudos realizados no âmbito do Grupo de Pesquisa Didaktiké da Faculdade de Educação da Universidade Federal de Goiás. Para essa compreensão, debruçamo-nos sobre três textos base de Pimenta, Franco e Fusari (2015), Franco e Pimenta (2016) e Melo e Pimenta (2018), autores que nos últimos anos vêm difundido a perspectiva Didática Crítica Multidimensional Emancipadora no movimento de ressignificação da didática no Brasil.
O WhatsApp como recurso pedagógico para o ensino de língua inglesa a estudantes universitários: uma revisão integrativa
Authors: Pessôa Aline Ribeiro
Published: February 2024

Esta revisão integrativa apresenta os resultados da análise de investigações científicas nacionais e internacionais, disponíveis na literatura, sobre evidências de se e como o aplicativo WhatsApp pode colaborar para o processo de ensino da língua inglesa em contexto universitário. O estudo conclui que o WhatsApp tem potencial para se tornar aliado de práticas pedagógicas exitosas, especialmente as que visam ao ensino de vocabulário, conteúdos gramaticais e habilidades linguísticas - leitura, escrita, fala e escuta. Particularmente relevante para o contexto do ensino superior são os indícios do estímulo aos hábitos de leitura oriundos da participação do estudante nas tarefas desenvolvidas nos grupos de WhatsApp.
PENGARUH PENCUCIAN BERULANG TERHADAP PERFORMA KAIN KERUDUNG RAYON 100% YANG TELAH DILAKUKAN PENYEMPURNAAN ANTI KUSUT
Authors: Dini Faiz Fajar , Kuswinarti Kuswinarti
Published: February 2024

Pemakaian kerudung dalam aktivitas sehari – hari dan proses pencucian yang terus menerus serta penambahan zat penyempurnaan anti kusut seperti resin, katalis, dan softener pada kain kerudung tentunya akan berpengaruh terhadap performa kain kerudung yaitu smoothness appearance, kekuatan tarik kain, dan kelangsaian kain. Penelitian ini bertujuan untuk mengetahui pengaruh pencucian berulang terhadap performa kain kerudung anti kusut serta mengetahui jumlah pencucian yang dapat menurunkan mutu kerudung anti kusut. Proses penyempurnaan anti kusut dilakukan secara exhaust menggunakan resin DMDHEU. Proses pencucian berulang dan pengujian performa kain kerudung seperti pengujian smoothness appearance, kekuatan tarik kain, dan kelangsaian dilakukan berdasarkan ketentuan yang ada di SNI. Adanya pencucian berulang terbukti menurunkan performa kerudung anti kusut dan berpengaruh terhadap pemenuhan syarat mutu yang ada dalam SNI 8098:2017.
PEMANFAATAN RUMPUT LAUT SEBAGAI PANGAN FUNGSIONAL: SYSTEMATIC REVIEW
Authors: Rizkaprilisa Windy
Published: February 2024

Potensi laut Indonesia dapat menjadi solusi dari krisis pangan. Hal ini karena Indonesia merupakan negara kepulauan yang memiliki garis pantai yang sangat panjang dan menyimpan berbagai sumberdaya alam yang memiliki nilai komersial tinggi diantaranya rumput laut. Dalam jurnal ini menjelaskan potensi pangan fungsional yang memanfaatkan pangan lokal rumput laut. Hal ini diharapkan dapat menginformasikan potensi rumput laut sehingga meningkatkan penggunaan rumput laut dan memberikan nilai tambah pada rumput laut. Rumput laut memiliki kandungan nutrisi yang tinggi yaitu berupa karbohidrat (20-51%) dan serat pangan (36-60%), serta komponen bioaktif (senyawa fenolik, pigmen alami, polisakarida sulfat, dan senyawa halogen). Inovasi pengolahan rumput laut merupakan salah satu upaya untuk meningkatkan nilai tambah dan daya daya saing komoditas rumput laut. Inovasi pangan dari pemanfaatan rumput laut antara lain yaitu bakso urat rumput laut, mie rumput laut, nugget ayam rumput laut, dodol rumput laut, biskuit rumput laut, roti tawar rumput laut, permen jelly rumput laut, kerupuk rumput laut, dan es krim rumput laut.
IMPLEMENTASI SISTEM INFORMASI SURAT MENYURAT BERBASIS WEB MENGGUNAKAN CODEIGNITER
Authors: M. Zakki Abdillah  , Erba Lutfina  , Ahmad Nugroho  , Muhammad Ramdan  , Dimas Benyamin
Published: February 2024

One of the administration processes in a university is the correspondence process. The process of managing correspondence at Karangturi National University Semarang still uses a manual process. Manual management processes can lead to high levels of errors. This research is a continuation of previous research on the analysis and design of a web-based letter disposition information system. In previous research, the stages of interviews, data collection, analysis and design of the disposition of the letter were carried out. The discussion in this research is the implementation of web-based correspondence using CodeIgniter. The results of implementing this information system can be accessed online and in real time, because this information system is web-based.
Rezension von: Tumler, Marian, Der Deutsche Orden von seinem Ursprung bis zur Gegenwart
Authors: Taddey Gerhard , Tumler Marian
Published: February 2024

Der Deutsche Orden von seinem Ursprung bis zur Gegenwart. Von Marian Turnier unter Mitarb. von Udo Arnold. 3. überarb. u. erw. Aufl. (Selbstverl.) 1981. 109 S.
Rezension von: Ulm und Oberschwaben Bd. 44
Authors: Wunder Gerd
Published: February 2024

Ulm und Oberschwaben. Zeitschrift für Geschichte und Kunst. Bd. 44. 1982. 495 S.
Rezension von: Tänzer, Aaron, Die Geschichte der Juden in Württemberg
Authors: Taddey Gerhard , Tänzer Aron
Published: February 2024

Aaron Tänzer: Die Geschichte der Juden in Württemberg. Unveränderter Nachdruck der Ausgabe von 1937. Frankfurt: Weidlich 1983. 190 S.
Rezension von: Pieske, Christa, Das ABC des Luxuspapiers
Authors: Herbst Helmut , Pieske Christa
Published: February 2024

Christa Pieske: Das ABC des Luxuspapiers. Herstellung, Verarbeitung und Gebrauch 1860 bis 1930 (= Schriften des Museums für deutsche Volkskunde Berlin 9). Berlin 1983. 377 S.
Rezension von: Schwedt, Herbert; Schwedt, Elke, Schwäbische Volkskunst
Authors: Pastor Egil , Schwedt Herbert , Schwedt Elke
Published: February 2024

Herbert und Elke Schwedt: Schwäbische Volkskunst. Stuttgart: Kohlhammer 1981. 184 S., 53 Abb., davon 12 farb.
Rezension von: Wanner, Paul, Erlebtes und Geträumtes
Authors: Wunder Gerd , Wanner Paul
Published: February 2024

Paul Wanner: Erlebtes und Geträumtes. Novellen, Geschichten und Erzählungen. Stuttgart: Steinkopf 1981. 191 S.
Rezension von: Windstosser, Ludwig u.a., Heilbronn
Authors: Blümcke Martin , Windstosser Ludwig
Published: February 2024

Heilbronn. Fotos von Ludwig Windstoßer, Texte von Carlheinz Gräter und Werner Kieser. Stuttgart: Theiss 1981. 135 S. mit 198 Farbbildern.
Rezension von: Rink, Joseph Aloys, Kurzgefaßte Geschichte und Beschreibung der Reichsstadt Schwäbisch Gmünd
Authors: Wunder Gerd , Rink Joseph Aloys
Published: February 2024

Joseph Alois Rink: Kurzgefaßte Geschichte und Beschreibung der Reichsstadt Schwäbisch Gmünd. Schwäb. Gmünd: Ritter 1802. 114 S. Neuausg. 1982 mit einem Nachwort von Klaus Graf.
Rezension von: Hofstetter, Lorentius, Reutlinger Chronic
Authors: Wunder Gerd , Hofstetter Lorentius
Published: February 2024

Lorentius Hoffstetter: Reutlinger Chronic. Bearb. von Paul Schwarz (= Reutlinger Geschichtsblätter NF 20/21 [1981/82] S. 5-483).
Rezension von: von Eyb, Alexa; Beuttenmüller, Otto (Bearb.), Ahnenliste Albrecht Freiherr von Eyb
Authors: Wunder Gerd , Eyb Alexa von , Beuttenmüller Otto
Published: February 2024

Ahnenliste Albrecht Freiherr von Eyb. Überarb. von Alexa Freifrau von Eyb und D. D. Otto Beuttenmüller. Bd. 1. Neuendettelsau: Selbstverl. 1983. 276 S., 54 Abb., 13 Taf.
NILAI KECERNAAN ENERGI PAKAN DENGAN KANDUNGAN TDN BERBEDA PADA KAMBING JAWARANDU JANTAN YANG DI PELIHARA INTENSIF
Authors: Umar Malikah
Published: February 2024

Abstrak Pemanfaatan energi pakan oleh ternak di pengaruhi oleh imbangan protein energi di dalam pakan penelitian ini bertujuan untuk mengetahui nilai kecernaan energi pakan dengan kandungan TDN yang berbeda pada kambing Jawarandu jantan yang dipelihara secara intensif untuk  pertambahan bobot badan harian dan kecernaan energi.Lokasi penelitian di Dusun Tongoh Barat Desa Pangongsean Kecamatan Torjun Kabupaten Sampang. Materi yang digunakan dalam penelitian adalah ternak kambing Jawarandu jantan umur ± 1 tahun dengan bobot badan rata-rata 20,74 kg (CV = 13,60%) yang ditempatkan pada kandang metabolik individu dengan model kandang panggung dan berjumlah 12 ekor kambing Jawarandu. Pakan yang digunakan berupa hijauan 30% dan konsentrat 70%. Penelitian ini menggunakan metode kuantitatif secara eksperimental dengan Rancangan Acak Lengkap (RAL), dengan empat perlakuan diantaranya P0 konsentrat (dedak padi dan tepung gaplek), P1 konsentrat dengan tambahan 20% pollard, P2 konsentrat dengan tambahan 40% pollard dan P3 konsentrat dengan tambahan 60% pollard dan tiga ulangan. Data yang diperoleh dianalisis menggunakan uji anava.Hasil analisis statistik dari penelitian ini menunjukkan bahwa nilai kecernaan energi pakan dengan kandungan TDN yang berbeda pada konsumsi energi pada setiap perlakuan tidak berbeda nyata (P≥0,05) rata-rata konsumsi energi pada penelitian ini mencapai 11,27 MJ/ekor/hari. Energi tercerna, energi feses, kecernaaan energi, dan energi termetabolis tidak memberikan pengaruh yang nyata terhadap setiap perlakuan (P≥0,05) tetapi pada energi urin memberikan pengaruh yang nyata terhadap setiap perlakauan (P≤0,05) dikarenakan nutrien yang di berikan tidak sama setiap perlakuan dan konsumsi energi yang relatif tinggi dan penyerapan energi yang banyak untuk dijadikan laju pertumbuhan. Pertambahan bobot badan harian (PBBH) menghasilkan 89,63 g/ekor/hari. Kesimpulan dari penelitian ini adalah semakin banyak konsumsi TDN maka semakin tinggi pula PBBH yang dicapai. Kata kunci : Kambing_Jawarandu, pollard, TDN dan Kecernaan Energi
Pelatihan Presentasi Materi Bahasa Inggris Menggunakan Prezi sebagai Media pembelajaran
Authors: Hanayanti Citra Siwi , Trisanti Yuliana , Fujiono Fujiono , Zabadi Fairus
Published: February 2024

Tujuan yang ingin dicapai melalui kegiatan pengabdian ini adalah memberikan wawasan dan pelatihan penggunaan media pembelajaran Prezi bagi siswa-siswi di SMA Negeri 3  Pamekasan. Hasil kegiatan pengabdian pada masyarakat ini dengan memberikan kontribusi positif terhadap usaha peningkatan kualitas pendidikan. Kegiatan pengabdian ini dilaksanakan dalam bentuk pelatihan, dan diikuti oleh siswa-siswi kelas  10 SMAN 3 Pamekasan. Diharapkan dari pengabdian ini secara umum peserta akan memahami media pembelajaran Prezi. Peserta memahami jika menguasai media pembelajaran dan dapat meningkatkan keterampilan siswa dalam membuat media melalui aplikasi prezi untuk presentasi. Berdasarkan angket motivasi diketahui bahwa peserta merasa mampu untuk menggunakan media pembelajaran berbasis teknologi Prezi untuk mengajar dan memilih Prezi untuk dijadikan media pembelajaran.
Bimbingan Teknis Teknologi Pengolahan Pakan Ternak Pada Kelompok Tani Pemuda Tanjung Kecamatan Pegantenan Kabupaten Pamekasan
Authors: Nurlaila Selvia , Riszqina Riszqina , Heryadi A Yudi
Published: February 2024

Ketersediaan pakan dalam jumlah yang cukup dan berkualitas sangat menentukan keberlanjutan usaha budidaya peternakan. Pada musim kemarau ini pemenuhan pakan hijauan ternak masih menjadi permasalahan bagi peternak, akibatnya banyak peternak yang menggunakan pakan seadanya untuk diberikan ke ternak. Rendahnya kesadaran peternak dalam penyediaan dan pemanfaatan pakan yang berkualitas dengan jumlah yang cukup, menyebabkan sebagian besar peternak memberikan hijauan pakan yang memiliki kualitas seadanya kepada ternak yang dipelihara. Hal ini menyebabkan ternak tidak mendapat asupan pakan yang berkualitas baik. Pelaksanaan kegiatan bimbingan teknis ini bertujuan untuk mengedukasi kepada peternak tentang bagaimana pengolahan pakan yang baik, salah satunya dengan memanfaatkan bahan pakan yang tersedia di lokasi sekitar dan diolah secara fermentasi. Salah satu metode untuk menaikkan status kualitas pakan ternak adalah dengan melakukan teknologi pengolahan pakan. Alternatif dari permasalahan ini adalah pelatihan pembuatan pakan Fermentasi jerami dan jamu ternak. Metode yang digunakan dalam kegiatan pengabdian masyarakat adalah penyuluhan disertai dengan praktek teknologi pengolahan  pakan ternak.
Penyuluhan Peningkatan Engagement terhadap Produk UMKM Pandegiling Surabaya yang dipasarkan melalui Online Marketplace Shopee
Authors: Suryawirawan Okto Aditya , Cahyono Krido Eko , Nugroho Novianto Eko , Mahargiono Pontjo Bambang
Published: February 2024

Tujuan dari kegiatan Pengabdian kepada Masyarakat melalui Penyuluhan Peningkatan engagement terhadap Produk pada pelaku UMKM Pandegiling Surabaya ini adalah memberikan pengetahuan tentang bagaimana meningkatkan engagement pada produk yang dijual oleh para pelaku UMKM melalui online marketplace Shopee. Selain dosen dari STIESIA selaku pihak pelaksana kegiatan, penyuluhan ini juga dilakukan dengan melibatkan mitra yaitu Shopee Indonesia. Hasil dari kegiatan ini adalah peningkatan pemahaman pelaku UMKM Pandegiling Surabaya terhadap engagement produk.
Niveles de interleucina-17 e interleucina-33 en plasma y orina de pacientes con diabetes mellitus tipo 2 y enfermedad renal diabética
Authors: Cortés-Guzmán José Santiago , Suárez-Cano Juan Sebastián , Narváez Carlos F. , Pinzón-Tovar Alejandro
Published: February 2024

Contexto: la diabetes mellitus tipo 2 (DM2) es una enfermedad prevalente que puede comprometer cualquier órgano. La enfermedad renal diabética (ERD) es una de las complicaciones de la DM2.
Objetivo: conocer las características sociodemográficas, clínicas, de laboratorio clínico y biomarcadores interleucina (IL)-17 e IL-33 en plasma y orina de nuestra población con DM2 y ERD, y encontrar si hay diferencias al comparar con pacientes sin ERD y sin DM2.
Metodología: en este estudio de corte transversal los datos se obtuvieron de las historias clínicas. Se midieron las IL-17 e IL-33 en plasma y orina mediante kits comerciales de ensayo de inmunoabsorción ligado a enzimas.
Resultados: se incluyeron 62 pacientes con DM2, 23 pacientes con ERD, 39 pacientes sin ERD y 29 pacientes sin DM2. Aquellos con DM2 tienen mayores niveles en orina de IL-17 comparado con los que no tienen DM2 (p<0.001). Los pacientes sin ERD presentan mayores niveles de IL-33 en plasma comparado con los que padecen ERD (p=0.0046). En los pacientes con DM2 existe correlación positiva entre los niveles de IL-17 e IL-33 en orina. Los niveles de IL-33 en plasma presentaron un área bajo la curva de 0.74 para diferenciar entre pacientes con ERD y sin ERD.
Conclusiones: los niveles de IL-17 en orina son mayores en pacientes con DM2. Los niveles de IL-33 en plasma son mayores en pacientes sin ERD. El nivel de IL-33 en plasma podría ser útil para diferenciar casos de ERD.
The relationship between learning motivation and learning engagement of Chinese state-funded normal university students: The mediating role of professional identity
Authors: Zhang Shao Hua , Cherng Ying
Published: February 2024

This study focuses on the relationship between learning motivation, career identity, and learning engagement of state-funded normal university students in Guangdong Province, China. Through intentional sampling, 1449 state-funded normal university students from 10 universities in the Guangdong Province of China were taken as the research objects. Then, reliability and validity analysis, descriptive statistical analysis, difference analysis, correlation analysis, regression analysis, structural equation analysis, the interview method, and other statistical methods are used for analysis. There is a significant positive correlation between learning motivation, professional identity, and learning engagement of state-funded normal university students, and professional identity plays an intermediary role. The results show that the learning motivation of state-funded normal university students has a significant positive effect on professional identity and learning engagement. Furthermore, the professional identity of state-funded normal university students has a significant positive effect on learning engagement; meanwhile, professional identity serves as a partial mediator between learning motivation and learning engagement of state-funded normal university students. Due to the insufficient research level of researchers, there are limited study samples, limited study variables, and limited research methods. This study will improve the quality of education and teaching, stimulate teachers' career development potential, and promote education reform and development. It also fills the research gap, deepens the study theory of learning motivation, and optimize the training mode of state-funded normal university students.
Time history analysis of structures under multi-support excitation by state-space method
Authors: Guesmi Mohamed , Belkheiri Nassira , Guesmi Mohamed Lakhder
Published: February 2024

Because of the variety of methods to simulate the dynamic behaviors of the structure under earthquake loading trying to approach the reality. This paper provides a contribution to simulate this behavior using three methods, mainly starting with state space. Secondly, we compare it with the finite element method (Duhamel integral and direct method of Newmark), taking into consideration the effect of Non-uniform excitation in the supports. The obtained results proves the three methods are efficient and very close to each other for simple structures but in term the computing time, the state space method is faster than the others. At the end, add a big structure to test the limits of each method.
Survival and risk of death in Covid-19 patients admitted to a public hospital in the Legal Amazon
Authors: De Andrade Noêmia Sampaio , Mariano Sandra Maria Botelho , Pereira Renata Junqueira , Vieira Antonio Hélio , Rodrigues João Pedro Cotrim , Silva Leonardo de Oliveira Toledo , Prehl Lya Roberta Barros , Pereira Araída Dias
Published: February 2024

Objective: To evaluate survival and risk of mortality in COVID-19 patients admitted to a public hospital located in the Legal Amazon. Method: A retrospective longitudinal documentary study, in which 196 medical records of patients admitted from April to August 2020, at the General Hospital of Palmas, diagnosed with COVID-19, were assessed. Socioeconomic data, age, sex, comorbidities, and disease outcome were collected from the records. Results: The average age was 58.6±16 years. Male sex was predominant (66.8%) and individuals with comorbidities (77%). It was observed that 76.14% of the patients were between 40 and 80 years of age. The Kaplan-Meier curve demonstrated a decline in survival over time, indicating that the likelihood of a patient surviving for 16 days is around 50%. The Log-rank test showed a statistical difference for the variables age (p = 0.01) and cancer (p = 0.02), suggesting a reduction in the probability of survival in older patients with cancer. The Cox regression identified that the risk of death in patients between 60 and 79 years was approximately 3 times higher than in those aged 40, while in those aged 80 or older, it was 6 times higher. In the same model, the risk of death in patients with obesity was 98% higher, and 2.11 times higher in patients with cancer. Conclusions: The research provided important insights into the behavior of COVID-19 in the Legal Amazon, which will support the response to the virus and other health crises.
COViD-19 is a Game Changer for Digital Health Transformation in Belgium
Authors: VERDONCK Pascal
Published: February 2024

In December 2019, health authorities in Wuhan, China, reported a cluster of patients with pneumonia of unknown cause. A new type of coronavirus has been identified as the cause. Since then, the epidemic has spread to many countries on all continents. The corona pandemic has put just about every vital social component in trouble, especially testing the limits of our health care systems. But there was also a major impact in many economic sectors that were obliged to cease their activities from the first lockdown. After more than 15 months of crisis with a long-term curtailment of personal freedoms, the psychosocial consequences are now also incalculable. The length of the lockdowns, the disappearance of social contact and the constant delay of perspective take their toll the longer, the more.
A comprehensive view into MPSK modulation classification
Authors: Liang Yilai
Published: February 2024

This paper provides a relative comprehensive overview on current modulation classification of MPSK from both the likelihood-based perspective and the feature-based perspective. Traditional methods based on maximum likelihood (ML) method mainly diverges in the way how unresolved parameters from the received signal are viewed. Some recent work adopting feature recognition such as SVM-based and Deep Learning-based classifying algorithms are also introduced. Fundamental equations are also provided for each method. This paper makes comparison among different methods in each section and explained the preferred utilization circumstance of each, aiming to help readers find the best algorithm in each of their specific case. Moreover, advantages and disadvantages of different algorithms are clearly stated for the readers information. Based on the pros and cons, it is also suggested for readers to develop new compound algorithms of better functionality for further research.
Spectrum map construction optimisation schemes: Sampling and prediction
Authors: Ji Xinrui
Published: February 2024

The proliferation of electromagnetic devices presents a significant challenge in developing effective techniques for spectrum monitoring, management, and security. The utilization of spectrum cartography has been acknowledged as a viable approach to address the aforementioned difficulties. This latter presents a variety of techniques aimed at enhancing the efficiency of the current spectrum mapping methodology. The subject matter can be categorized into two primary components, namely sampling and spectrum prediction. Sampling part includes methods to find the most valuable sampling points and methods of sampling hardware optimization. Spectrum prediction includes algorithms utilizing frequency-spatial reasoning techniques to estimate the target spectrum map by data from the nearby area, and algorithms utilizing ROSMP framework to estimate the spectrum map from past data. The introduction of techniques is divided into the 2 types, together with key algorithms and devices used in each method. Additionally, the letter lists some drawbacks of certain methods and discuss their development prospects.
Comparisons of PSK, APSK, and QAM over AWGN and fading channels
Authors: Zhao Lingxiao
Published: February 2024

In addition to the thermal noise, communication systems can normally experience various fading because of objects reflecting the signal. PSK, APSK, and QAM modulation schemes are widely used in communication systems. It is thus essential to know how well these schemes can perform in different fading channels. This research explores the BER performance of these modulation schemes in common and typical channel models including AWGN, Rayleigh fading, Rician fading, and Nakagami fading channels by simulations in MATLAB. The BER curves over a range of SNR and symbol constellation diagrams are obtained. It is found that Rayleigh and Nakagami fading distort signals most and impacts of Rician fading in LoS case and AWGN can be mitigated significantly by increasing the SNR. Furthermore, the QAM has better BER performance in fading channels while PSK and APSK perform better in AWGN channels when the number of bits of one symbol is relatively small. Selections of modulation schemes should depend on the specific circumstances and the optimization of them is required when large numbers of bits are transmitted by one symbol.
Human-computer interaction based on speech recognition
Authors: Lu Ruixin , Wei Renjie , Zhang Jian
Published: February 2024

With the rapid change of The Times, language is no longer limited only in books, but gradually dedicates itself to reality. Speech recognition, in recent years, the cause of artificial intelligence and human-computer interaction continues to develop, all levels of life have its footprint, speech human-computer interaction leaf slowly began to integrate into the mainstream team of artificial intelligence. In general, speech recognition technology brings more convenience and naturalness to human-computer interaction, The benefits of human-computer interaction are not only reflected in improving the performance and efficiency of technical systems, but also in improving the user experience, fostering innovation, and promoting inclusive and sustainable development of society, and it has a positive impact in many fields, and with the continuous progress of technology, its application prospects will be broader. This paper makes a simple analysis and introduction of the role of speech recognition in human-computer interaction, expounds the key technologies, main algorithms and working principles of speech human-computer interaction, And some applications of human-computer interaction based on speech recognition in life and production fields. At the same time, the hidden problems and solutions are discussed, and includes the prospect of future speech human-computer interaction. Hope that this paper can bring some inspiration to relevant scientific research teams, assisting them to broaden a bright future.
Hand gesture recognition in natural human-computer interaction
Authors: Ge Chang , Min Jianhua
Published: February 2024

This paper introduces the definition of Gesture recognition. First the article gives a precise definition of gesture recognition and explains the difference between gestures and postures, then it reveals technical difficulties of Gesture recognition. These technical difficulties include four aspects. After analyzing the technology and methods of Gesture recognition and the technical difficulties, it concretely expounds gesture recognition process based on data gloves, which is widely studied before and it also introduces the computer vision based research achievement which is currently becoming a research hotspot in this field. Then it also takes Kinect and HoloLens as examples to introduce specific practical cases of gesture recognition in wearable devices. Also it outlines the application of gesture recognition technology in human-computer interaction which include but not limited to smart terminal, Game control, Robot Control, Clinical and Health, Smart home, Sign Language Recognition, Vehicle system, Interactive entertainment. Finally it reach the conclusion that the biggest challenge researchers meet is to build a powerful framework to overcome the common problems with fewer constraints to provide reliable results. And sometimes researchers need to combine multiple methods for different complex environments.
16-Bit multiplier optimization based on Wallace tree and Booth algorithm
Authors: Li Yanru , Zhu Jun
Published: February 2024

With the expanding computer application scenarios and increasing computational demands, optimizing 16-bit multiplication is an important and meaningful research topic. In this paper, we take advantage of the parallel computing property of Wallace tree and the advantage of bit-level operation of Booth algorithm to perform certain optimization on 16-bit multiplier. In this paper, a series of basic modules are firstly constructed as the basic framework of the multiplier, and then the optimization module is designed by using Booth algorithm and Wallace tree, and they are combined to obtain a multiplier with improved computational accuracy, reduced computational complexity, reduced delay, and improved computational efficiency compared with the traditional multiplier. The significance of the optimized multiplier implementation is to increase the computational speed, improve the chip resource utilization, reduce the power consumption and energy consumption, and meet the demand of complex applications, which is of great significance to improve the performance and efficiency of computer systems.
Exploring visual techniques for indoor intrusion detection using detectron2 and Faster RCNN
Authors: Dong Changhao
Published: February 2024

As societal evolution marches forward, there's an escalating emphasis on indoor security concerns. Within the safety realm, indoor intrusion detection emerges as a pivotal challenge, given its direct implications on safeguarding human lives and assets. Leveraging visual methods for indoor intrusion detection holds promising potential, particularly due to its straightforward deployment advantages. This study zeroes in on surveillance video footage, a prevalent medium in the security domain, as its experimental muse. Post an initial preprocessing phase utilizing a video difference map, the research introduces a pedestrian detection algorithm hinged on the synergy of detectron2 and Faster R-CNN. Insights gleaned reveal that this combined algorithm, when augmented with the video difference map preprocessing, exhibits commendable accuracy, robustness, and real-time efficacy on surveillance footage, especially in scenarios bereft of significant target occlusion. Moreover, this algorithm showcases an adeptness at discerning diminutively sized targets, demonstrating resilience against varying light magnitudes and maintaining impeccable accuracy amidst intricate lighting conditions. By harnessing this methodology, the enhancement of indoor environment safety monitoring becomes feasible, thereby bolstering the provision of dependable protection for individuals.
Decoding sentiment: A sentiment analysis model for movie reviews
Authors: Xu Jiahao
Published: February 2024

Sentiment analysis of movie reviews can provide valuable insights into movie reactions and preferences. To this end, this study proposes the Convolutional Long Short-Term Memory (ConvLSTM) neural network for movie review sentiment analysis. ConvLSTM can efficiently capture sequential information due to its recurrent neural network characteristics. Specifically, the movie review data are first tokenized. Next, the ConvLSTM analysis model is constructed additionally by fine-tuning its parameters to optimize the performance. The ConvLSTM model consists of multiple storage units that retain contextual information, enabling the model to identify long-distance dependencies in the text. The network is trained using a combination of positive and negative movie reviews, and the training process involves adjusting the model weights to minimize the classification error. Experimental results demonstrate the effectiveness of the proposed method in accurately predicting movie review sentiment. It outperforms traditional machine learning methods in sentiment analysis tasks. The findings demonstrate the potential of LSTM-based sentiment analysis in various applications such as movie recommendation systems and market research. This study's findings help advance the development of sentiment analysis techniques and are of great relevance in understanding and catering to audience preferences in the movie industry.
Investigation of recent advances related to AI in mathematics education
Authors: Fu Ao
Published: February 2024

The integration of mathematics and Artificial Intelligence (AI) is an immensely promising field, making a comprehensive overview in this domain highly essential. This article provides an overview of two methodologies: Sofia and ITS. Sofia is an AI mathematical analysis model that engages in dialogues with multiple components and robots, performing calculations by processing sentences through Unix file system paths. ITS, on the other hand, is an intelligent tutoring system, comprising domain, student, tutor, and interface components, facilitating interactions within the teaching and learning processes. This article intricately delineates the implementation and functionalities of these two methodologies, encompassing their constituents, applications, and limitations. The applications of these methodologies are far-reaching in both mathematics and AI domains. For instance, in the realm of education, ITS can furnish personalized learning experiences by offering feedback and suggestions tailored to students' knowledge and behaviors. In the arena of mathematical analysis, Sofia can aid in analyzing and solving intricate mathematical problems, rendering support and guidance to students and professionals alike. In conclusion, this article offers a comprehensive overview of the amalgamation of mathematics and AI, introducing the implementations and applications of the Sofia and ITS methodologies. These approaches hold substantial potential within the fields of mathematics and AI, providing valuable references for future research and applications.
A comparison of application of Fourier Transform and Wavelet Transform on image compression
Authors: Kan Yunfei
Published: February 2024

This paper explores the application of Fourier Transform and Wavelet Transform in image compression, comparing their performance in terms of various parameters. As data compression continues to evolve to minimize storage and transmission costs, image compression techniques play a crucial role. Among the major compression methods, Fourier Transform and Wavelet Transform stand out. In this study, we introduce both transforms, elucidate their respective image compression methodologies, and undertake a comparative analysis of their compression qualities using multiple metrics. The mathematical underpinning of both transforms is discussed, and several quality metrics will serve as standards for comparison. In comparing the two techniques, Wavelet Transform consistently demonstrates better image compression quality, albeit with higher computational complexity. This study underscores the potential for further algorithmic enhancements to improve Fourier Transform-based compression and encourages an understanding of the trade-offs between compression quality and processing efficiency in the context of image compression techniques.