bluuebunny/crossref_metadata_2025 huggingface dataset:
Seleksi Beberapa Hasil Persilangan Genotipe Jagung (Zea mays L) Tipe Daun Tegak
Authors: Magfira M , Sulfiani S , Syah Uswah Trywulan , Nurcaya N , Efendi Roy
Published: May 2024

This study aims to determine several genotypes of upright leaf-type maize with high production, in addition to knowing the genotypic characters obtained from the selection of upright leaf-type corn with closer spacing. The study was arranged as an experiment using a randomized block design (RBD) with the treatment of types of corn resulting from crosses. There were 6 genotypes tested, namely SU1, SU2, SU3, SU4, SU5, SU6, and 2 control genotypes namely SU7 (variety RK75) and SU8 (variety RK457). Genotypes were tested based on agronomic characteristics and yield. The results showed that the production of the tested and the control genotypes were not significantly different. However, the highest average production was found in the comparison genotype, especially the RK457 variety, which was 7.49 t/ha. The results of the selection of agronomic characters stated that the genotypes tested and the control genotypes showed no significantly different results on the characters of plant height, cob height, leaf length, leaf width, and leaf angle but significantly different on the stem diameter character. Genotype SU5 had an average stem diameter of 20.75 mm, not significantly different from genotype SU6 (18.95mm), RK457 (19.24 mm), and RK75 (17.79 mm). However, it was significantly different from the genotypes SU1 (16.35 mm), SU2 (14.40 mm), SU3 (16.05 mm), and SU4 (16.93 mm). The selection results for yield characteristics stated that the tested and control genotypes did not have significantly different characters.
Efektifitas Herba Ciplukan (Physalis angulata L.) Sebagai Imunostimulan Kekebalan Unggas Setelah Uji Tantang Virus Newcastle Desease
Authors: Nurhasanah N , Yellita Yulia , Sabrina S , Ananda A
Published: May 2024

This research aims to determine the effectiveness of ciplukan herb (Physalis angulata L) in extract and powder preparations as an immunostimulant against the immunity of broilers who have received vaccination and tested against the Newcastle disease virus. The materials used were 96 DOC with an average weight of 35-40 g, ciplukan herb from Luhak Nan Duo, the velogenic strain of Newcastle disease virus from Bvet Lampung, and the commercial vaccine ND Lasota. The study used a completely randomized design (CRD) with 8 treatments and 3 replications. The ciplukan herb was given for 3 days with concentrations: K(-) (without vaccine without ciplukan), K+ (vaccine only), E3 (ciplukan extract 0.35mg/10ml/head + vaccine), E2 (ciplukan extract 0.25mg/head 10ml/head + vaccine), E1 (0.15mg/10ml/head ciplukan extract + vaccine), S3 (17.5mg ciplukan powder/head + vaccine), S2 (12.5mg ciplukan powder/head + vaccine) and S1 (ciplukan powder 7.5mg/head + vaccine). The parameters observed in this study were antibody titer, morbidity, and mortality. The study showed that the administration of ciplukan herb positively affected low antibody titers through the efficiency of cellular defense mechanisms. This herb can also reduce chicken mortality and morbidity after challenge tests against the Newcastle disease virus.
Pertumbuhan Bayam Brasil (Alternanthera sissoo hort) secara Hidroponik dengan Pupuk Organik Cair dari Lindi Reaktor Biogas Feses Manusia
Authors: Pirade Emeralda Rey , Kisworo K , Madyaningrana Kukuh
Published: May 2024

The slurry is one of the results of fermentation of organic material from a biogas reactor, which can be used as plant fertilizer because it is rich in macronutrients. The Brazilian spinach plant, known to contain a lot of vitamin E, is suitable for organic cultivation in a hydroponic system, which requires good fertilizer intake. This research aims to study the effect and best dose of liquid organic fertilizer from human waste-based biogas reactor leachate on the growth of Brazilian spinach (Alternanthera sissoo hort) in a hydroponic system. Six treatments were used in this study: K0 (no fertiliser), K1 (500 ppm fertiliser from AB mix), K2 (500 ppm commercial POC), P1 (250 ppm biogas reactor slurry POC), and P2 (500 ppm biogas) with 5 replications for each treatment. Brazilian spinach growth parameters measured included plant height, number of leaves, root length, wet weight, and dry weight. Plant growth parameter data were analyzed statistically using ANOVA and DMRT tests. The nutrient analysis results show that the POC macronutrient levels of human feces slurry does not meet the POC standards, according to the Ministry of Agriculture. However, giving it at a dose of 250 ppm has been proven to support the growth of Brazilian spinach plants.
Perubahan Mata Pencaharian Petani sebagai Dampak Alih Fungsi Lahan Pertanian
Authors: Pratiwi MK  , Andi Nuddin  , Iradhatullah Rahim
Published: May 2024

The population of Parepare City, South Sulawesi, has increased yearly. It causes a high need for housing. Unsurprisingly, land that is strategic for agriculture is then used as housing. The economic level of society also influences the conversion of agricultural land. People who cannot meet their daily needs through sales of agricultural activities, which are generally low, try to find other forms of business that can improve their welfare. This research aims to determine the pattern of changes in farmers' livelihoods due to the conversion of agricultural land. This research uses a quantitative descriptive approach. The samples taken were 52 farmers who had sold their agricultural land. Then, the next stage of analysis uses the Wilcoxon test analysis. The research results show that 26.92% of farmers whose land has been converted still work in the agricultural sector, 65.39% in the non-agricultural sector, and 7.69% do not. The conversion of agricultural land to non-agricultural land was expected to improve farmers' economic conditions. However, these conditions are not what is happening in society. The research results show no real influence between the farmers' income before and after the land is converted.
Visual Daun dan Identifikasi Hara Mikro pada Tanaman Lada dengan Kriteria Pertumbuhan Baik
Authors: Irman  , Nyayu Siti Khodijah  , Ismed Inonu  , Muntoro  , Iwan Setiawan
Published: May 2024

Fertility and continuity of results are needed in pepper cultivation, so the right compatibility of nutrients is needed. Micronutrient observations are often not carried out regularly and tend to lag behind macronutrients, even though they are equally essential. Symptoms will be visible visually on the leaves and it is important to know that identifying nutrient symptoms is important. The leaf samples were represented by 20 old leaves and 20 young leaves which were observed visually by comparing them based on the nutrient symptom table, then the micronutrients of the young leaf tissue were analyzed. Based on the visuals of the leaves, symptoms of micronutrients were found dominantly found in young leaves. The diagnosis results based on visual symptoms were that pepper plants with the criteria for healthy growth still found symptoms of Fe deficiency in the form of yellowing in young leaves and also in old leaves, symptoms of Zn toxicity in the form of chlorosis between the leaves. young and Kahat B which shows that there are several young leaves which are also darker in color than normal young leaves. Based on analysis of the micro nutrient content found in young leaf tissue, the content of Cu, available Fe, Mn, Zn, B, Mo is below 100 ppm (100 mg/Kg), this figure shows that it is still in the low category.
PENGARUH PENAMBAHAN FUKOIDAN PADA PAKAN TERHADAP RESPON IMUN NON SPESIFIK INDUK IKAN NILA (OREOCHROMIS NILOTICUS)
Authors: Sani Asrianti , Dahlia Dahlia , Amrullah Amrullah , Yuliadi Yuliadi
Published: May 2024

Penelitian ini  bertujuan  untuk melihat  pengaruh  bahan aktif fukoidan  komersil pada berbagai dosis terhadap respon  kekebalan induk  nila (Oreochromis niloticus).  Disain penelitian adalah Rancangan Acak Lengkap (RAL), terdiri atas 4 perlakuan (A = pakan + fukoidan komersil 0% sebagai kontrol; B = pakan + fukoidan komersil 0,1%; C = pakan + fukoidan komersil 0,2%; dan D  = pakan + fukoidan komersil 0,3%) masing-masing  diulang sebanyak  2  kali. Hasil  penelitian menunjukkan penambahan fukoidan komersil dalam pakan akan meningkatkan respon kekebalan non spesifik pada induk ikan nila. Nilai respon kekebalan tertinggi diperoleh  pada konsentrasi fukoidan komersil  0,3 %, dengan kadar haematokrit  38.8000±2.92, indeks fagositik  32.1833±3.29,  total leukosit  142.67±58.97 sel/mm3, diferensial leukosit terdiri atas limfosit 90.2333±0.87%, monosit 6.0500±0.40%, dan neutrofil 24.9500±6.08%.
IDENTIFIKASI PENYAKIT DUA VARIETAS TOMAT (LICOPERSICON ESCULENTUM MILL.) YANG TERIMBAS ASAM FUSARAT TERHADAP JAMUR PATOGEN DI KABUPATEN SIDRAP
Authors: Satrinah Satrinah , Ambar Abdul Azis , Rahim Iradhatullah
Published: May 2024

Tujuan penelitian untuk mengetahui indeks luas daun, gejala penyakit yang muncul akibat serangan jamur, persentase penyakit yang muncul akibat jamur, intensitas serangan jamur Fusarium Oxysporum, dan mengetahui  varietas yang tahan terhadap penyakit yang disebabkan oleh jamur. Percobaan dilakukan di kebun petani di Desa Cipo Takari Kabupaten Sidrap, dimulai pada bulan Juni sampai September 2013. Gejala penyakit yang muncul akibat serangan jamur yaitu penyakit bercak daun Alternaria, penyakit bercak daun Cercospora, dan penyakit busuk daun Phytopthora.
ANALISA MUTU KIMIA CHITOSAN DARI LIMBAH KULIT UDANG WINDU (Penaus monodon) SEBAGAI BAHAN PENGAWET
Authors: Mursida Mursida
Published: May 2024

Penelitian ini dilakukan dengan tujuan menentukan mutu chitosan yang telah dibuat untuk diaplikasikan sebagai bahan pengawet  produk udang beku. serta menetukan konsentrasi chitosan yang terbaik, yang mampu mempertahankan mutu berbagai jenis produk udang selama penyimpanan pada suhu beku. Chitosan  yang dihasilkan, telah memenuhi standar mutu chitosan. Kadar air  sebesar 7,09%, kadar abu sebesar  0,71%,  N-total sebesar 7,17% , Viscositas sebesar 825 cp, warna putih dengan rendemen sebesar  20,45%. Jenis produk udang dan konsentrasi chitosan berpengaruh terhadap mutu udang beku selama penyimpanan. Berdasarkan hasil uji lanjut LSD terhadap  pH,TVB, indol, semuanya berpengaruh sangat nyata (p?0,05). Konsentrasi terbaik chitosan untuk mengawetkan ke tiga jenis produk udang (head on, head off, dan peeled) adalah 0,15%, baik dari segi efisiensi maupun dari segi  parameter mutu selama penyimpanan satu bulan atau 4 pekan, yaitu total mikroba masih di bawah 5,0 x 105 cfu, pH berkisar 5-7, kadar TVB masih dalam kategori segar yaitu berkisar 10-20 mgN/100 gr, kandungan indol lebih kecil atau sama dengan 10µg/100 gr contoh berarti udang masih sega
KARAKTERISTIK HABITAT DAN KELIMPAHAN IKAN HIAS INJEL BATMAN (POMACANTHUS IMPERIOR) DI PERAIRAN KABUPATEN PANGKEP, SULAWESI SELATAN
Authors: Abdullah Abdullah , Kasmi Mauli
Published: May 2024

Tujuan penelitian ini adalah mengestimasi dan menganalisis kelimpahan ikan hias Injel Batman (Pomacanthus imperior) berdasarkan kondisi tutupan karang hidup di perairan Kabupaten Pangkep, Sulawesi Selatan. Metode penelitian didasarkan pada sampling paralel antara kelimpahan (visual sensus) dan prosentase  tutupan karang hidup (Point Intercept Transect)  di lokasi penelitian. Lokasi penelitian di Perairan Kepulauan Liukang Tumpabbiring dan Kepulauan Liukang Tangaya. Hasil menunjukkan  Kepulauan Liukang Tupabbiring mempunyai kelimpahan ikan 0,00005 ekor.m-2 dengan standing stock 138 ekor dan peraiaran Kecamatan Liukang Tangaya sebanyak 0,005 ekor. m-2 dengan standing stock 35.121 ekor. Kelimpahan ikan Injel Batman tidak berkorelasi positif dengan tutupan karang hidup tetapi keberadaannya  dipengaruhi oleh struktur bentuk pertumbuhan karang (karasteristik habitat) yaitu di antara celah karang bercabang, submasive dan masive.
KAJIAN PEMIJAHAN BERULANG TERHADAP KUALITAS TELUR KUDA LAUT (Hippocampus barbouri) DALAM WADAH TERKONTROL
Authors: Syukri Muhammad
Published: May 2024

Penelitian ini bertujuan untuk mendapatkan gambaran tentang perbedaan kualitas telur yang dihasilkan oleh induk kuda laut (H. barbouri) terhadappemijahan berulang di dalam wadah terkontrol. Hasilnya diharapkan dapat dimanfaatkan untuk kegiatan perbenihan dan restocking. Indicator yang menunjukkan kualitas telur kuda laut antara lain diameter telur, jumlah telur matang dan komposisi kimia telur telah diamati selama penelitian berlangsung. Penelitian ini menggunakan 4 perlakuan dengan 3 kali ulangan sehingga terdapat 12 satuan percobaan, menggunakan 36 buah akuarium dan mengorbankan 36 induk betina dengan ukuran 12 – 13 cm. pengamatan diameter telur dilakukan setelah induk betina mencapai TKG akhir (sebelum induk betina mentransfer telurnya ke dalam kantung pengeraman jantan), dan setelah induk betina memijah (memeasukkan telurnya ke dalam kantung pengeraman jantan). Diameter telur yang diperoleh sebelum memijah berkisar 0.05 – 2.875 mm dan diameter telur yang diperoleh setelah memijah berkisar 0.05 – 1.25 mm. Jumlah telur yang dihitung adalah jumlah telur yang sudah matang dan telah mencapai TKG IV ditandai dengan terbentukny kuning telur, terkumpulnya butiran minyak yang massanya semakin besar dan nucleus tepat pada sentral Oosit. Jumlah telur matang diperoleh dengan kisaran 32 – 148 butir. Pengukuran komposisi kima telur dilakukan setelah induk mencapai TKG IV dengan cara membedah kuda laut betina sebanyak 3 ekor untuk diambil gonadnya kemudian disimpan dalam freezer, selanjutnya dilakukan analisis proksimat guna melihat berapa besar kandungan asam lemak yang dikandung telur induk kuda laut (H. barbouri) yang terbaik diperoleh pada pemijahan IV berdasarkan rata-rata diameter telur, jumlah telur matang dan kandungan asam lemaknya. Meskipun demikian perlakuan pemijahan berulang samapai empat kali belum cukup untuk menunjukkan perbedaan yang signifikan terhadap diameter telur, jumlah telur matang dan kandungan asam lemaktelur kuda laut (H. barbouri) dibuktikan dengan adanya fluktuasi pada setiap gambar yang diperoleh.Kata kunci :      Pemijahan berulang, Diameter telur, Jumlah telur matang dan Kanduangan asam lemak.
PREFERENSI KONSUMEN TERHADAP PRODUK OLAHAN SAGU
Authors: Hasbi Andi Rizkiyah , Sari Harmita
Published: May 2024

The purpose of this study was to determine consumer preferences for processed sago products, by taking into account several attributes attached to the processed sago products. The study used a survey method using a questionnaire and was carried out in Palopo City, South Sulawesi. Sampling was carried out in three places which were the centers of marketing of sago products which were considered quite affordable by respondents, namely the Pusat Oleh-Oleh Palopo (Souvenir Center Palopo), Pusat Niaga Palopo (Commercial Center ), and the Toko Baru. The research data were processed using Chi-Square analysis to determine consumer preferences for processed sago purchase decisions. The results showed that the most considered attribute in the purchase of sago product was bagea cake with peanut-flavored at a price of Rp 15,000 – Rp 35,000, medium packaging, and easy to carry.
ІННОВАЦІЙНА ПЛАТФОРМА АГРАРНОЇ СФЕРИ
Authors: ВОЛОДІН Сергій , ВИТВИЦЬКА Ольга , КОНДРАТ Олександр
Published: May 2024

У статті обґрунтовано  питання формування платформи ринкової адаптації науки до кризових умов та мобілізації наукового потенціалу на проривних напрямках розвитку аграрної сфери.  Оцінено можливості інтеграції науки та бізнесу на платформі інноваційної біоекономіки в кризових економіко-правових умовах України; обґрунтовано біоекосистему платформи та механізм її функціонування партнерства науки та бізнесу для реалізації спільних інноваційно-інвестиційних проектів. Для запровадження обґрунтованої біоекосистеми запропоновано комплекс заходів щодо формування платформи в системі аграрної науки на основі проведених випробувань та прийнятих організаційних рішень за прикладом НААН України.
Зроблено висновок, щодо співпраці аграрної науки та бізнесу на основі запропонованої платформи державно-приватного партнерства, яка забезпечить мобілізацію наукового потенціалу для вирішення актуальних питань інноваційного розвитку аграрного виробництва, сільських територій шляхом створення та трансферу проривних та підтримуючих біоінновацій, виробництва конкурентоспроможної продукції. інноваційні агропродовольчі продукти.
The Effect of Ensemble Averaging Method on Rainfall Forecasting in Jakarta Using ARIMA and ARIMAX
Authors: Mahmudi Mahmudi , Hidayat Afnenda Rachmalia , Wijaya Madona Yunita
Published: May 2024

This research discusses rainfall modeling using ARIMA and ARIMAX models in Jakarta. This is important because rainfall forecasting in Jakarta has a significant impact on flooding and infrastructure. The focus of this research is on significant ARIMA and ARIMAX models, which are then subtotaled using ensemble averaging. Humidity and temperature variables are of particular interest in ARIMAX modeling due to their high correlation with rainfall. This quantitative research uses secondary data analysis from Tanjung Priok and Kemayoran Stations through the BMKG website, from July 2018 to June 2023. The results obtained at Tanjung Priok Station there are five significant ARIMA models and three significant ARIMAX models. While at Kemayoran Station there are 6 significant ARIMA models and two significant ARIMAX models. After using the ensemble averaging method on both ARIMA and ARIMAX models, the resulting SMAPE value is not better than the best ARIMA or ARIMAX models at both stations. Of all the models performed, the best model in forecasting with the smallest SMAPE is ARIMAX (0,0,1) at Tanjung Priok Station which is 37.83% and at Kemayoran Station which is 27.59%. This research provides new insights and significant contributions in understanding and developing rainfall forecasting in Jakarta using the ensemble averaging method.
Exploration of Mathematical Concept in Kite Making Wau Bengkulu
Authors: Sigit Ego Agus , Syofiana Mardiah , Risnanosanti Risnanosanti
Published: May 2024

This study aims to analyze the mathematical concepts contained in the making of Wau Bengkulu kites and the exploration of mathematical concepts. This research is descriptive qualitative with ethnographic approach. This research was conducted at a kite-making site located in Suka Raja Village, Kampung Melayu Sub-district, Bengkulu City. The research subjects were kite craftsmen in Bengkulu Province. Data collection methods used were observation, interview, documentation, and literature study. Data analysis techniques were carried out with qualitative analysis techniques, namely, data collection, data reduction, data presentation, and conclusion drawing. The mathematical concepts contained in the making of this traditional game can be utilized to introduce and understand the concept of geometry through local culture. The making of Wau Bengkulu kite shows that there are mathematical concepts contained, namely the concepts of comparison, measurement, volume, folding symmetry and division point.
Development of Interactive Learning Media Assisted by Desmos Based on RME to Improve Mathematical Representation Abilities and Resilience of Class VIII Students at SMPN 1 Idi
Authors: Astuti Astuti , Armanto Dian , Hasratuddin Hasratuddin
Published: May 2024

The purpose of this study to describe: 1) the validity, practicality and effectiveness of the interactive learning media assisted by RME-based Desmos which was developed to increase students' mathematical representation abilities and resilience at SMP N 1 Idi; 2) increasing students' mathematical representation abilities through interactive learning media assisted by the developed RME-based Desmos; 3) increasing student resilience through interactive learning media assisted by the developed RME-based Desmos. This study is development research using the Tessmer development model, formative evaluation type. This development model consists of two development stages, namely preliminary (determination) and prototyping (design and evaluation). From the outcomes of trial I and trial II it was gotten: 1) Interactive learning media assisted by RME-based Desmos to improve students' mathematical representation abilities and resilience which was developed met the criteria of being valid, practical and effective; 2) Increasing mathematical representation abilities using interactive learning media assisted by RME-based Desmos which has been developed as seen from the N-gain value in trial I of 0.41, increasing to 0.47 in trial II, meaning it is in the "medium" category; and 3) Increasing student resilience with the RME approach that has been developed as seen from the N-gain value in trial I of 0.33, increasing to 0.51 in trial II, meaning it is in the "medium” category. Based on the study outcomes, it is recommended that teachers use interactive learning media assisted by Desmos in learning straight line equations to improve students' mathematical representation abilities and resilience.
Development of Geogebra Assisted Learning Modules to Improve Mathematical Representation Abilities and Self Regulated Learning of Senior High School
Authors: Mayasari Fitria , Napitupulu E. Elvis , Sinaga Bornok
Published: May 2024

This research aims to analyze: 1) Validity of the geogebra-assisted learning module developed; 2) Practicality of the geogebra-assisted learning module developed; 3) Effectiveness of the geogebra-assisted learning module developed; 4) Increasing mathematical representation abilities by using the geogebra-assisted learning modules that were developed; 5) Increasing self regulated learning by using the geogebra-assisted learning modules that were developed. This research is development research using the ADDIE development model. This development model consists of 5 development stages, namely analysis, design, development, implementation and evaluation. From the results of trial I and trial II it was obtained: 1) The geogebra-assisted learning module developed meets the valid criteria; 2) The geogebra-assisted learning module developed meets the practical criteria; 3) The geogebra-assisted learning module developed meets the effective criteria; 4) The mathematical representation ability using the geogebra-assisted learning module that has been developed has increased as seen from the N-gain value of 0,45, meaning it is in the "medium" category; and 5) Self regulated learning using the geogebra-assisted learning module that has been developed has increased as seen from the N-gain value of 0,42, meaning it is in the "medium" category.
Multi-feature fusion dehazing based on CycleGAN
Authors: Wang Jingpin , Ge Yuan , Zhao Jie , Han Chao
Published: May 2024

Under the foggy environment, lane line images are obscured by haze, which leads to lower detection accuracy, higher false detection of lane lines. To address the above problems, a multi-layer feature fusion dehazing network based on CycleGAN architecture is proposed. Firstly, the foggy image is enhanced to remove the fog in the image, and then the lane line detection network is used for detection. For the dehazing network, a multi-layer feature fusion module is used in the generator to fuse the features of different coding layers of U-Net to enhance the network’s recovery of information such as details and edges, and a frequency domain channel attention mechanism is added at the key nodes of the network to enhance the network’s attention to different fog concentrations. At the same time, to improve the discriminant effect of the discriminator, the discriminator is extended to a global and local discriminator. The experimental results show that the dehaze effect on Reside and other test data sets is better than the comparison method. The peak signal-to-noise ratio is improved by 2.26 dB compared to the highest GCA-Net algorithm. According to the lane detection of fog images, it is found that the proposed network improves the accuracy of lane detection on foggy days.
Cahn–Hilliard system with proliferation term
Authors: Nimi Aymard Christbert , Langa Franck Davhys Reval
Published: May 2024

In this article, our objective is to explore a Cahn–Hilliard system with a proliferation term, particularly relevant in biological contexts, with Neumann boundary conditions. We commence our investigation by establishing the boundedness of the average values of the local cell density u and the temperature H. This observation suggests that the solution ( u , H ) either persists globally in time or experiences finite-time blow-up. Subsequently, we prove the convergence of u to 1 and H to 0 as time approaches infinity. Finally, we bolster our theoretical findings with numerical simulations.
Approximate kink-kink solutions for the ϕ 6 model in the low-speed limit
Authors: Moutinho Abdon
Published: May 2024

In this paper, we consider the problem of elasticity and stability of the collision of two kinks with low speed v for the nonlinear wave equation known as the ϕ 6 model in dimension 1 + 1. We construct a sequence of approximate solutions ( ϕ k ( v , t , x ) ) k ∈ N ⩾ 2 for this model to understand the effects of the collision in the movement of each soliton during a large time interval. The construction uses a new asymptotic method which is not only restricted to the ϕ 6 model.
Effects of MLS Laser on pain, function, and disability in chronic non-specific low back pain: A double-blind placebo randomized-controlled trial
Authors: Labanca Luciana , Berti Lisa , Tedeschi Roberto , D’Auria Lucia , Platano Daniela , Benedetti Maria Grazia
Published: May 2024

BACKGROUND: Among non-pharmacological interventions, Multiwave Locked System (MLS) Laser therapy has been used in patients with several musculoskeletal pathologies and in combination with other therapeutical interventions. The effects of sole MLS therapy on pain and function in patients with chronic non-specific low-back pain are unknown. OBJECTIVE: The objective of this study was to investigate the effects of MLS Laser therapy on pain, function, and disability in patients with chronic non-specific low back pain in comparison to a placebo treatment group. METHODS: Forty-five patients were randomized into two groups: the MLS Laser group and the Sham Laser group, undergoing 8 sessions of either a MLS Laser therapy or a Sham Laser therapy, respectively. At the beginning of the therapy (T0), at the end of the therapy (T1), and 1 month after the end of therapy (T2) patients were assessed for low back pain (by means of a VAS scale), function (by means of kinematic and electromyographic assessment of a forward bending movement) and self-reported disability (by means of the Roland-Morris and Oswestry Disability questionnaires). RESULTS: There was a significant reduction of pain and disability in both groups at T1 and T2 in comparison with T0. At T2 patients in the MLS group showed a significantly lower pain in comparison with patients in the Sham group (VAS = 2.2 ± 2 vs. 3.6 ± 2.4; p< 0.05). No differences between the two groups were found for function and disability. CONCLUSION: Both MLS Laser and Sham Laser therapies lead to a significant and comparable reduction in pain and disability in patients with chronic non-specific low back pain. However, one month after treatment, MLS Laser therapy has been found to be significantly more effective in reducing pain as compared to sham treatment.
Los Alamos chess game 2 (after P-K3) is solved; black wins in 21 moves
Authors: Sayle Roger
Published: May 2024

In a defining event for the field of Artificial Intelligence (AI), the first game of chess skill between a human and computer took place in 1956 (Chess Review (1957) 13–17; The Machine Plays Chess? (1978) Pergamon Press). In this match, Dr Martin Kruskal from Princeton University played White against the MANIAC I computer at Los Alamos Scientific Laboratory in New Mexico, programmed by Paul Stein and Mark Wells. Due to the very limited capacity of computers at the time, which couldn’t handle a full 8 × 8 chess board, the competitors played “Los Alamos Chess”, a minichess variant using a 6 × 6 board without bishops. For this game, White played without a queen, opened with P-K3 and ultimately won against the machine opponent in 38 moves. Here we show that Black can force a win in 21 moves.
A comparison of historical versus proposed physical employment standards for flight paramedics performing helicopter winch rescue
Authors: Meadley Benjamin N. , Caldwell-Odgers Joanne
Published: May 2024

BACKGROUND: Paramedics working in helicopter teams undertake water and land rescues. Historical assessments of role-related fitness were not developed using physical employment standards methodology. OBJECTIVE: To compare the historical selection tests with new tests developed via contemporary scientific methodology. METHODS: Candidates undergoing selection to the role of flight paramedic (n = 14; age 37±5 yrs, body mass index [BMI] 26±4 kg.m2) undertook existing paramedic selection tests on land and in water, measurements of task duration, maximum heart rate (HRmax), rate of perceived exertion (RPE6 - 20) and capillary blood lactate (Lacmax) were recorded. These results were compared to the same variables in experienced paramedics (n = 14; age 44±5 yrs, BMI 25±3 kg.m2) who undertook the new tests. RESULTS: Land task duration (existing 17±2 min vs. proposed 7±2 min, p <  0.05) HRmax (existing 186±13 b.min–1 vs. proposed 173±11 b.min–1, p <  0.05), and Lacmax (existing 23±3 mmol.L–1 vs. proposed 8±2 mmol.L–1, p <  0.05) were higher in the existing test compared to the proposed tests. Water task duration (existing 12±2 min vs. proposed 10±1 min, p <  0.05) was longer in the existing test, but HRmax (existing 166±18 b.min–1 vs. proposed 167±15 b.min–1, p = 0.90), Lacmax (existing 11±4 mmol.L–1 vs. proposed 11±4 mmol.L–1, p = 0.90) did not differ. RPE6 - 20 did not differ between groups for water or land. CONCLUSIONS: The historical land-based physical tests for paramedics differed from the proposed tests, however the water-based tests had similar duration and physiological demands. Use of tests not developed via established scientific methodologies risks eliminating candidates suitable to work in the role, or including candidates that are not.
Employment barriers questionnaire: Development and determination of its reliability and validity
Authors: Starik Tal , Huber Maya , Zeilig Gabi , Wolff Julie , Ratzon Navah Z.
Published: May 2024

BACKGROUND: The high unemployment rate among people with disabilities (PWDs) can be attributed to barriers found in the work environment and demands of the job itself. Given the lack of comprehensive tools to identify these barriers, we developed the Employment Barriers Questionnaire (EBQ). OBJECTIVE: The objective of this study was to develop and examine the EBQ’s reliability and validity for detecting employment barriers and possible modifications to overcome them. METHODS: Two stages were conducted: stage I was a cross-sectional design. Stage II included a cross-sectional and prospective design. Thirty-nine people with physical disabilities (mean age 47.21±10.78 years) were recruited, 51% of which were employed during data collection. During stage I, we developed a first version of the EBQ (EBQ.I) and evaluated its internal reliability. The EBQ.I was filled twice, one week apart to assess test-re-test reliability. Predictive validity was tested using a regression model to predict the employment status of stage II based on EBQ.I’s results from stage I. In stage II, we generated a second version (EBQ.II) and tested its internal-reliability and known-groups validity, by comparing the EBQ.II’s results between employed and unemployed subjects. RESULTS: The results showed that the EBQ.II has a high internal-reliability (α= 0.79–0.97) and a medium-large known-groups validity (–3.95≤Z≤–2.26, p < 0.05). Additionally, the EBQ.I has a high test re-test reliability (ICC = 0.85–0.94, p < 0.001) and predictive validity (β= 0.861, p = 0.033). CONCLUSION: This study has illustrated that the EBQ.II is a unique, reliable and valid tool for identifying employment barriers and modifications to address them, expected to improve vocational rehabilitation efforts.
A mixed methods study of the transformative effects of artificial intelligence on healthcare
Authors: Lainjo Bongs
Published: May 2024

Technological advancements have catalyzed the emergence of Artificial Intelligence (AI), significantly enhancing the efficiency of diverse healthcare services. AI has a pivotal role in revolutionizing medical processes and addresses its potential in drug discovery, disease prognosis, and healthcare optimization. The study employs both quantitative and qualitative methods to investigate the multifaceted dimensions of AI’s influence on healthcare. The quantitative phase involves a diverse participant pool, employing surveys and clinical data analysis. Multiple linear regression and ANOVA are used to assess the relationship between AI utilization and patient outcomes. The qualitative phase includes in-depth interviews, providing insights into the complexities of AI integration, ethical concerns, and perspectives of healthcare professionals and patients. The findings reveal a moderate impact of AI on healthcare delivery, with challenges in AI integration and no significant influence of confidence in AI technologies. The study urges careful interpretation of results and highlights the imperative for additional research. It emphasizes the significance of a balanced approach, considering ethical implications, to fully leverage the potential of AI in enhancing medical procedures and shaping the future of healthcare delivery systems.
A comparative analysis of blockchain and Electronic Data Interchange (EDI) in supply chain: Identifying strengths, weaknesses, and synergies
Authors: Fellah Khadija El , Azami Ikram El , Makrani Adil El
Published: May 2024

Supply chain management is crucial to modern commerce, improving operational efficiency, cost reduction, and customer satisfaction. Electronic Data Interchange (EDI) and blockchain are key technologies in this context. While EDI streamlines communication, blockchain ensures transparency. This study aims to address the lack of comprehensive comparisons in the existing literature, focusing on EDI and blockchain. Objectives include analysis of data security, speed, cost, scalability, and efficiency. Case studies reveal nuanced differences and similarities, highlighting the potential benefits of integration. The study conducts a comprehensive analysis of articles from diverse domains, examining the comparison between Electronic Data Interchange (EDI) and blockchain technologies to identify synergies. This research guides technology selection, providing decision-makers with essential information and promoting innovation in supply chain management by understanding the comparative advantages and challenges of EDI and blockchain, as well as their synergies in hybrid applications.
Hybrid resampling technique with HWSO based temporal convolution network for credit card fraud detection
Authors: Roseline S. Abijah , Chandrashekar Rakesh , Appadurai Jothi Prabha , Sudha D , Disney D Anu , Prabhu kavin Balasubramanian , Seng Gan Hong
Published: May 2024

In the wake of recent progresses in electronic trade and communiqué links, credit card use has skyrocketed for both online and in-person purchases. Maximum credit card datasets are very skewed, making it difficult to design efficient fraud detection algorithms that can help mitigate these losses. Traditional approaches are inefficient for credit card fraud detection because their architecture requires a vector to the output vector. As a result, they are unable to billet the ever-changing holders. In instruction to well recognize credit card fraud, the authors of this research suggest a hybrid classifier and data resampling strategy. The hybrid resampling is accomplished by combining the synthetic marginal oversampling procedure (SMOTE) with the edited nearest neighbour (ENN) approach. Temporal convolutional networks (TCN) are combined with a Bidirectional Gated Recurrent Unit (BiGRU) and a Dual Attention network (DATT) to perform the categorization in the suggested model. Second, in order to quickly get the deep semantic features of the credit card data, we employed TCN and BiGRU networks to extract characteristics were then spliced and merged, and a dual attention method was implemented to assign global weight to the most crucial information. In the end, classification was performed using a Softmax classifier. The accuracy of the categorization is further enhanced by the use of the Hybrid White shark Optimisation model (HWSO) model for selecting the model’s weights. Using publicly accessible, credit card dealings, the recommended strategy is proved. The trial results show that the models adjusted using the proposed approach outperformed those using hybrids of competing metaheuristics.
Automatic distal radius fracture detection and classification using deep convolutional neural network with radiological images
Authors: Misbah Iffath , Sekar Aadithiyan , Muthu Sathish , Prajitha C. , Chellamuthu Girinivasan , Ashraf Munis , Mahalakshmi Mahalakshmi
Published: May 2024

Distal radius fractures (DRF) are among the most common fractures and are often treated surgically. The accuracy and effectiveness of the surgical procedures greatly depend on the correct classification of distal radius fractures. Wrist fractures are the most commonly misclassified because of the wrist bone’s complex anatomical structure, including several different bones. Thus, it is evident that models based on machine learning (ML) and artificial intelligence (AI) are required, with an emphasis on making them user-friendly for everyday clinical practice. Hence, this study proposes the Deep Convolutional Neural Network-based Distal Radius Fracture Classification Model (DCNN-DRFCM) to diagnose DRFs using anteroposterior and lateral wrist radiographs. The goal of this work is to develop an artificial intelligence system that can learn to utilize X-ray pictures to correctly diagnose distal radius fractures with a small amount of information. Labelling assessments with fractures and overlaying fracture masks generates images that may be used for testing and training segmentation and classification methods. The DCNN model analyzed DRF based on three views: lateral, anteroposterior, and lateral and anteroposterior views. The experimental outcomes demonstrate that the recommended model increases the classification accuracy rate of 99.3%, sensitivity rate of 96.5%, specificity rate of 97.8%, and F1-score rate of 95.6% and reduces the error rate of 11.2% compared to other popular approaches.
Computing the Population Mean in Stratified Sampling Using an Auxiliary Attribute
Authors: Zaagan Abdullah A , Meetei Mutum Zico , Singh Shreyanshu , Gupta Rajesh , Yadav Subhash Kumar , Verma Mukesh Kumar
Published: May 2024

This paper proposes a novel ratio type estimator for the population mean using an auxiliary attribute by implying one auxiliary variable in stratified random sampling using conventional product, exponential, and logarithmic ratio type estimators. The proposed estimator’s MSE and PRE are determined, and PRE is compared with existing estimators. The proposed estimator is more effective than other existing estimators according to theoretical observations, which verifies its numerical examples. The proposed estimator may be used for practical applicability in real life, including agricultural sciences, biological sciences, commercial sciences, economic sciences, engineering sciences, medical sciences, social sciences etc.
ECONOMIC AND STATISTICAL MODELING IN THE ANALYSIS AND FORECASTING OF THE MARKETING COMMUNICATIONS BUDGET: A METHODOLOGICAL ASPECT
Authors:   Odesa State Agrarian University, Bakhchyvanzhy Liudmila ,   Odesa National Technological University, Yevtushok Olga ,   Odesa National Technological University, Vityuk Antonina ,   Odesa National Technological University
Published: May 2024

In the conditions of global challenges, the problem of justified management decision-making, information and analytical support for forecasting marketing results is becoming increasingly relevant for enterprises operating in the conditions of a market economy. The purpose of the article is the methodical justification of building a model that allows forecasting the costs of marketing communication appeals of an enterprise to achieve the desired market share based on data on the market share of the totality of enterprises in the industry, activity costs and the specific weight of the costs of communication appeals in the total amount of expenses. According to the well-known Weinberg model in the theory of marketing analysis and forecasting, as a factor characteristic that should determine the size of the marketing communications budget, an indicator reflecting the ratio of the share of marketing communications costs in the total amount of costs of the investigated company and the company of the competitor, which is the leader in terms of market share, was chosen. The company's share on the market was chosen as an effective indicator. The presented model building and forecasting algorithm was developed on the basis of the application of a formalized method and regression analysis, which made it possible to analytically describe the statistical correlation dependence between the variation of the resulting and factor characteristics and to evaluate the adequacy of the obtained linear pair model on the basis of variance analysis. Regression analysis was carried out using the available toolkit of the Excel spreadsheet analysis package. The approach to building the Weinberg model substantiated in the article can be easily implemented in practice to analyze the results of the company's marketing activities and develop and forecast the marketing communications budget to achieve the desired market share. The practical significance of using the proposed model in practice is to ensure an increase in the efficiency of costs directed to communication activities in marketing in order to achieve the desired marketing results and strengthen the company's position on the market.
ТРЕНДИ СПОЖИВАЦЬКОЇ ПОВЕДІНКИ ЯК ОСНОВА ПРОСУВАННЯ ТУРИСТИЧНОГО ПРОДУКТУ: ВІДЕО-КОНТЕНТ
Authors: Виговський Дмитро , Коротун Ольга , Конарівська Оксана
Published: May 2024

Зміни в купівельній поведінці обумовлюють зміни в маркетингових стратегіях, у тому числі і в просуванні, як елементі маркетинг-мікс. Зараз можна з упевненістю стверджувати, що цифрові технології не лише сильно впливають на поведінку споживачів, але і змінюють купівельні звички та вподобання. Глобальні зміни сталися не лише в способах отриманням інформації, яких, з розвитком інформаційно-комунікаційних технологій стало безліч. Основні зміни полягають у формуванні очікувань споживачів, що у свою чергу змінило їх підхід до ухвалення рішень в сучасному, насиченому інформацією, соціально-інтенсивному середовищі. Проте цифрові технології не лише є каталізатором змін в поведінці споживачів, але і формують нові шляхи вирішення проблеми просування продукту. Метою статті є огляд сучасних трендів купівельної поведінки в туризмі і аналіз пов'язаних з ними цифрових технологій і інструментів, що застосовуються при просуванні туристичного продукту, зокрема відео-контенту. Матеріали статті можуть мати практичний інтерес для представників туристичного бізнесу.
ОЦІНКА РОЛІ ІНВЕСТИЦІЙНИХ ПОТОКІВ У ЗМІЦНЕННІ ЕКОНОМІЧНОЇ ІНТЕГРАЦІЇ МІЖ УКРАЇНОЮ Й ІНШИМИ КРАЇНАМИ ЄС
Authors: Галуха Любов , Пічугіна Юлія , Овандер Наталія
Published: May 2024

У статті досліджено роль інвестиційних потоків у процесі зміцнення економічної інтеграції між Україною та країнами Європейського Союзу (ЄС). Визначено, що інвестиційні потоки відіграють ключову роль в інтеграції України в європейський простір. Іноземні інвестиції допомагають Україні збільшувати свій економічний потенціал, підвищувати конкурентоспроможність і модернізувати свої виробничі й інфраструктурні системи. Вони сприяють перенесенню передових технологій та управлінських практик, а також сприяють упровадженню європейських стандартів і норм у різні галузі економіки України. Важливим є те, що на поведінку зарубіжних інвесторів, які здійснюють прямі інвестиції, впливають як внутрішні, так і зовнішні чинники. У висновку зазначено, що інвестиційні потоки з країн ЄС в Україну є важливим інструментом для сприяння економічній інтеграції і співпраці між цими двома регіонами.
FORENSIC AND ECONOMIC EXPERTISE IN THE FIELD OF TAXATION: CURRENT PROBLEMS AND WAYS TO OVERCOME THEM
Authors:   Dnipropetrovsk Scientific Research Institute of Forensic Expertise, Okunevych Iryna
Published: May 2024

Forensic economic expertise in the field of taxation is an integral part of the legal process, especially in cases related to tax audits and disputes. The article considers the definition of the very concept of "forensic economic expertise". Summarizing the achievements of scientists, the author of the article proposes to consider forensic economic expertise as a study of objects, phenomena and processes, which is conducted by a person who has special knowledge in the field of economics in order to provide a conclusion on issues raised by bodies of inquiry, pre-trial investigation or court. An important point is that the forensic economic examination is appointed exclusively to establish the circumstances of the case, which relate to the subject of evidence in the case and when the expert's opinion cannot replace other means of proof. The conducted research on the state of cases that are (were) pending in courts of various instances on tax disputes was based on the use of various general and specialized scientific methods, in particular: analysis, synthesis, induction, deduction, abstraction, generalization, economic-mathematical and statistical methods, etc. According to the results of the research, it was established that the largest specific weight is made up of cases of tax payers' lawsuits to the DPS authorities regarding the recognition of tax notices-decisions as invalid/invalid. The objects of research of forensic economic expertise on taxation are primary documents that confirm the implementation of an economic transaction and contain basic information about it, accounting registers that contain in a systematized form information about certain accounting objects, data on the formation of objects object of taxation and determination of the amount of taxes and fees payable to the budget, financial statements including descriptions of applied accounting policies, tax statements, other documents containing reliable information related to the subject of the study. Actual problems of appointing and conducting forensic economic examinations were identified and ways to overcome them were proposed.