bluuebunny/crossref_metadata_2025 huggingface dataset:
Surgically Managed Symptomatic Intraspinal Lumbar Facet Synovial Cyst Outcome of surgical treatment with resection and instrumented posterolateral fusion, a case series
Authors: Carmona Roberto Larrondo , Totera Juan Ignacio Cirillo , Lemos Facundo Alvarez , Wilson José Tomás Muñoz , Montoya Andre Marc Beaulieu , Lalanne Lyonel Beaulieu
Published: May 2022

BACKGROUND
There is controversy regarding the treatment of symptomatic synovial cysts (SSC), specifically, the need for a concomitant fusion when surgical resection of the CS is required. We present a retrospective review of a series of patients treated for SSC of the lumbar region during the last 20 years by a single surgeon, analyzing the current available literature.
METHODS
Retrospective review. The same surgical technique was applied to all patients. Demographic, clinical, surgical data and synovial cyst recurrence rate were recorded. Postoperative results reported by patients were documented according to the McNab score.
RESULTS
69 subjects, with mean follow-up of 7.4 years. 62% (43) were female, with a mean 57.8 years at the time of surgery. In 91.3% (63), the primary management was conservative for a minimum period of 3 months. All subjects underwent surgery due to the failure of conservative treatment. The segment most operated on was L4-L5 (63.77%). 91.3% (63) of the sample reported excellent and good and 6 subjects (8.6%) fair or poor results. There was no evidence of CS recurrence at the operated level.
CONCLUSION
In SSC, it seems that conservative treatment is only effective in a limited number of patients and in the short term. Thus, the recommendation of a surgical indication should proceed as soon as the conservative management fails to result in significant symptom relief. Based on our results, we recommend, together with the resection of the cyst, the instrumentation of the segment to avoid its recurrence and the management of axial pain.
Tick-borne encephalitis affects sleep-wake behavior and locomotion in infant rats
Authors: Chiffi Gabriele , Grandgirard Denis , Stöckli Sabrina , Valente Luca Gabriele , Adamantidis Antoine Roger , Leib Stephen L
Published: May 2022

Background/Aims: Tick-borne encephalitis (TBE) is a disease affecting the central nervous system. Over the last decade, the incidence of TBE has steadily increased in Europe and Asia despite the availably of effective vaccines. Up to 50% of patients after TBE suffer from post-encephalitic syndrome that may develop into long-lasting morbidity. Altered sleep-wake functions have been reported by patients after TBE. The mechanisms causing these disorders in TBE are largely unknown to date. As a first step toward a better understanding of the pathology of TBEV-inducing sleep dysfunctions, we assessed parameters of sleep structure in an established infant rat model of TBE.Methods: 13-day old Wistar rats were infected with 1 x 106 FFU Langat virus (LGTV). On day 4, 9, and 21 post infection, Rotarod (balance and motor coordination) and open field tests (general locomotor activity) were performed and brains from representative animals were collected in each subgroup. On day 28 the animals were implanted with a telemetric EEG/EMG system. Sleep recording was continuously performed for 24 consecutive hours starting at day 38 post infection and visually scored for Wake, NREM, and REM in 4 seconds epochs.Results: As a novelty of this study, infected animals showed a significant larger percentage of time spend awake during the dark phase and less NREM and REM compared to the control animals (p < 0.01 for all comparisons). Furthermore, it was seen, that during the dark phase the wake bout length in infected animals was prolonged (p = 0.043) and the fragmentation index decreased (p = 0.0085) in comparison to the control animals. LGTV-infected animals additionally showed a reduced rotarod performance ability at day 4 (p = 0.0011) and day 9 (p = 0.0055) and day 21 (p = 0.0037). A lower locomotor activity was also seen at day 4 (p = 0.0196) and day 9 (p = 0.0473). Conclusion: Our data show that experimental TBE in infant rats affects sleep-wake behavior, leads to decreased spontaneous locomotor activity, and impaired moto-coordinative function.
A Retrospective Analysis of Pulmonary Cryptococcosis Following Kidney Transplantation: Clinical Presentation, Treatment and Effectiveness
Authors: CHEN Shuyang , CHEN Meiyan , GU Lei , WANG Qing , YOU Yanjing , WANG Huijuan , LAI Guoxiang , YU Zongyang , WEN Wen
Published: May 2022

Background: The use of immunosuppressors and a relatively weakened cell-mediated immunity makes organ transplant recipients particularly vulnerable to cryptococcosis infection. Patients infected usually present only nonspecific symptoms, making it extremely possible for misdiagnosis and inappropriate choice of therapeutic approaches.Methods: We compiled and analyzed data of patients who received kidney transplant in our hospital between April 2006 to January 2021.Results: 18 patients were enrolled in the study, ranging between 27-68 years old. The median time from kidney transplantation to pathologically-confirmed infection was 4.09 years. All patients’ respiratory system was affected, showing symptoms including sputum-producing cough and fever. 3 patients (16.67%) also developed central nervous system (CNS) infections. Nodule-shaped infectious sites were frequently observed (10, 58.82%) in chest CT. Blood works showed no specific changes. 7 patients received thoracoscopic lobectomy in suspicion of lung cancer. 3 patients first received antifungal therapy for a period of time and then underwent thoracoscopic lobectomy. No recurrence whatsoever was observed in all 10 surgically-intervened patients. 8 patients received only antifungal therapy, 7 of them showed a substantial reduction in the size of the infectious site. Fluconazole was most frequently prescribed for antifungal therapy. Conclusion: Most patients developed pulmonary cryptococcosis 2 years after transplantation. Patients usually demonstrate symptoms like fever and sputum-producing cough. The possibility of cryptococcal meningitis shouldn’t be ruled out if corresponding symptoms occur. CT presentation may be confused with lung cancer. Fluconazole is commonly prescribed for treatment and can usually yield satisfactory outcomes. In patients who received unsatisfactory antifungal therapy, surgical therapy should be considered a possibility.
Argyres-Douglas theories in class S without irregularity
Authors: Beem Cristopher , Peelaers Wolfger
Published: May 2022

We make a preliminary investigation into twisted
A_{2n}A2n
theories of class \mathcal S𝒮.
Contrary to a common piece of folklore, we establish that theories of
this type realise a variety of models of Argyres-Douglas type while
utilising only regular punctures. We present an in-depth analysis of all
twisted A_2A2
trinion theories, analyse their interrelations via partial Higgsing, and
discuss some of their generalised SS-dualities.
Nutritional properties of baru almond (Dipteryx alata Vogel) flours produced from fruits subjected to drying
Authors: Silva Daiana Vieira , Oliveira Daniel Emanuel Cabral de , Resende Osvaldo , Martins Keyla Rezende Barcelos , Fonseca Natália Nogueira , Quequeto Wellytton Darci , Silva Lígia Campos de Moura , Souza Diene Gonçalves
Published: May 2022

Due to the growing demand for nutritious foods and the importance of studying the viability of foods produced from native species of the Cerrado, the present study was conducted to characterize baru almond flours produced from fruits subjected to drying. The fruits were dehydrated at temperatures of 40, 60, 80 and 100 ºC in an oven with forced air circulation until constant weight. The samples were analyzed for moisture content, ash, lipids, proteins, carbohydrates, energy value, pH, acidity, soluble solids, apparent specific mass, minerals, phenolics and total flavonoids, carotenoids, antioxidant capacity; and characterized by Fourier transform infrared absorption spectroscopy. The analyses were performed in triplicate and the results were evaluated by analysis of variance and Tukey test (p ≤ 0.05). Baru almond flours showed moisture content ranging from 4.95 to 3.29 g 100 g-1. Drying at a temperature of 100 ºC caused in the samples an increase in apparent specific mass and reduction in pH, soluble solids, antioxidant activity, total phenolics, contents of total flavonoids and carotenoids. The 40 ºC treatment induced lower losses in antioxidant activity, total phenolics and total flavonoids. The results of the FT-IR analysis show loss of nutrients. Drying did not alter the contents of ash, lipids, energy value, potassium, iron, zinc, copper and manganese. Baru almond flour is rich in nutrients and can be an alternative to enrich gluten-free foods
Antioxidative and osmorregulatory responses of Jatropha curcas to water stress are genotype dependent
Authors: Silva Leandro Dias da , Gomes Fábio Pinto , Araújo Romária Pereira , Pereira Lidiane Silva , Dalmolin Ândrea Carla , Amaral José Francisco Teixeira do
Published: May 2022

Jatropha curcas L., Euphorbiaceae, is an undomesticated species noted for its high oil content of the seed (17.5 - 41.6%), which can be used to produce biodiesel, among other products. The objective of this study was to evaluate the behavior of nine Brazilian genotypes of J. curcas under the effect of water deficit. Seedlings of these genotypes (CNPAE 121, 124, 148, 168, 222, 215, 226, 298 and 299) were submitted to two irrigation regimes for 42 days: controlled irrigation (100% of tank capacity, TC) and water stress (WS, 50% TC). The foliar content of proline increased 56% on average in water stressed plants compared to the control plants. Water deficit-induced decreases of 62, 112, 78 and 23% in photosynthetic rate, stomatal conductance, transpiration rate and internal to atmospheric CO2 concentration ratio (Ci/Ca), respectively, were observed. Foliar activities of dismutase superoxide, guaiacol peroxidase and catalase increased in the stressed in comparison with the control plants. The genotypes CNPAE-148 and 222 were considered tolerant, as indicated by strong water conservation and significant increase in the activity of antioxidant enzymes when subjected to water stress
Transferable polymorphic microsatellite markers from Capsicum annuum to Capsicum baccatum
Authors: Moulin Monique Moreira , Santos Talles de Oliveira , Ramos Helaine Christine Cancela , Sudré Cláudia Pombo , Gonçalves Leandro Simões Azeredo , Viana Alexandre Pio , Rodrigues Rosana
Published: May 2022

Several researches have extensively used microsatellite markers for genetic mapping, because of their high transferring values among species from the same genus. This work aims at evaluating transferability of microsatellite locus developed to Capsicum annuum in a mapping population of Capsicum baccatum. We have tested 152 pairs of microsatellite primers developed to C. annuum in a mapping population constituted by 203 individuals F2 originated from crossing between two accessions of C. baccatum var. pendulum, accomplishing a previous optimization of primers annealing temperatures. On the map construction, we have employed only the polymorphic markers and that generated clear marks, totalizing 62 markers transferred with success, 42 mapped, resulting in a percentage of 40.8% transferred microsatellites. Furthermore, we observed a relevant correspondence between microsatellite markers allocation on linkage groups C. baccatum and linkage groups C. annuum. This is the first report on the transfer of microsatellite markers to a species of C. baccatum, being an important advance on for the implementation of marker-assisted selection in breeding programs and also allows advances in more studied species such as C. annuum. Considering the slowness and higher cost of the processes of isolation and specific indicators development for microsatellite analysis, the results obtained at this work allows an improvement of the genetic mapping process of C. baccatum species
Impact of altitude on grain yield, oil, and protein content of soybean
Authors: Capelin Marcio A. , Madella Laura A. , Panho Maiara C. , Meira Daniela , Fernandes Rogê A. T. , Colonelli Lucas L. , Menegazzi Caroline P. , Rosa Ana C. , Rodrigues Adriana Paula D'Agostini Contreiras , Benin Giovani
Published: May 2022

Soybean (Glycine max (L.) Merrill) is one of the most important commodities in the world, with grains that show variations in their chemical composition, mainly in oil and protein content. These variations can be related to genotype (G), environment (E), and G × E interaction. Thus, the objectives of this study were to determine the environments which maximize oil and protein yields, and to identify potential soybean cultivars that have increased grain yield, and oil and protein content in high-and low-altitude environments. Twenty-eight soybean cultivars were evaluated at high (846–963 m, Cfb climate) and low (336–480 m, Cfa climate) altitude environments, in the 2017/18 and 2018/19 crops, for grain yield, thousand grain weight, and oil and protein contents and yields. Growing environment affected the chemical composition of soybean grains. Altitude had a positive effect on protein content and a negative effect on oil content. The high-altitude environment increased the protein content by 6.15% (380 g kg-1), whereas the low altitude environment promoted an increase of 5.58% in oil content, with a mean value of 220 g kg-1. We identified soybean cultivars with potential for greater oil and protein yields in high-and low-altitude environments. Knowledge of the associations between environments and the chemical composition of soybean grain is valuable for developing direct breeding efforts, recommending cultivars and growing locations, in order to meet the demand of the oil and protein market
Chemical composition of prickly pear cactus (Opuntia stricta Haw) irrigated with saline water in semi-arid soils
Authors: de Lima Washington Benevenuto , Araújo Jucilene Silva , Chaves Lúcia Helena Garófalo , Vieira Múcio Freire , Carneiro Paulo Torres , Chaves Iede de Brito , Cavalcante Antônio Ramos
Published: May 2022

The objective of this study was to investigate the effect of application of saline water in different soils on the accumulation of sodium and potassium in different structures of prickly pear cactus (Opuntia stricta Haw) variety ‘Orelha de elefante mexicana’. The experiment was laid out in a randomized-block design with treatments arranged in a 3 × 4 factorial arrangement (three soil types: chromic Luvisol, Solonetz and Fluvisol × four irrigation water salinity levels: 0.75, 3.0, 5.25 and 7.50 dS m-1, at 25 °C), using three replicates. At 360 days after planting, the plants were harvested, dried in a forced-air oven, ground and digested. After the digested samples were obtained, the sodium and potassium contents of each plant structure were determined by flame emission spectrometry, using a flame photometer. The soil types significantly influenced the potassium content in the mother and primary cladodes, whereas the salinity levels did not influence the potassium content in any of the plant structures. Higher sodium contents were found in the roots as compared with the other structures, but which did not differ statistically between the soils. Under salt stress, sodium tended to accumulate in the roots and mother cladodes. Chromic Luvisol is the most recommended soil for growing prickly pear cactus ‘Orelha de elefante Mexicano’ in salt stress conditions.
Investigation of the Distribution of Aquatic Entomofauna (Coleoptera) Affected by Murgul Copper Mine Area, with New Faunistic Records in Artvin
Authors: AYDOĞAN Zeynep , İNCEKARA Ümit , ŞİŞMAN Turgay , DARILMAZ Mustafa , AKSAKAL Özkan
Published: May 2022

66 insect samples from three localities where vicinity of the Murgul copper mine were collected between June to September 2020 to investigate water beetle (Coleoptera) entomofauna of Murgul (Artvin). Totally twelve species, all of which belong to Dytiscidae and Hydrophilidae determined and reported here. Nine of them as Hydrophilidae (6 Laccobius, 1 Enochrus, 1 Hydrobius, 1 Coelostoma), and of which three as Dytiscidae (1 Agabus, 1 Deronectes, 1 Hydroglyphus) were determined. In addition, Hydroglyphus pusillus, Laccobius (Dimorpholaccobius) sculptus and Laccobius (Dimorpholaccobius) sulcatulus were recorded from Artvin for the first time. Laccobius, with six species, identified in the study area, is conspicuous compared to the other two genera. The study highlights that the mine affected habitats should be evaluated and monitored in terms of heavy metal concentration of biotic and abiotic environments.
Synthesis and Characterization of Novel Hybrid Sulfonamide Molecules with Benzothiazole Scaffold
Authors: KALAY Erbay
Published: May 2022

Benzothiazole-based compounds have a wide spectrum of pharmacological activities such as anticancer, anti-diabetic, anticonvulsant, antiviral, antituberculous, antimalarial, analgesic, anti-inflammatory, antimicrobial, and fungicidal. On the other hand, compounds bearing a sulfonamide group are used to inhibit some enzymes such as carbonic anhydrase, HIV protease, cysteine protease and cyclooxygenase (COX-II) apart from their commercial applications as antibacterial/antibiotics. Due to the wide variety of biological activities of benzothiazole and sulfonamide scaffolds, the presence of such pharmacophores in synthetic organic compounds has aroused great interest in medicinal chemists. Recently, molecular hybrids have been envisaged by combining at least two pharmacophore-specific moieties to modulate multiple disease targets simultaneously. Molecular hybridization design appears to be a novel approach to develop multifunctional hybrid molecules that involve combining at least two pharmacophores in a scaffold. In this study, benzothiazole-based bissulfonamide 8a-b and sulfonamide-amide 7a-c hybrid compounds, which have the potential to be used in many different therapeutic applications, were synthesized effectively after a series of reactions starting from the 2-amino benzothiazole compound. The structures of the synthesized novel hybrid molecules 7a-c, 8a-b were elucidated by 1H, 13C NMR, FTIR and HRMS spectroscopy techniques.
Effect of Calcite on Fresh and Hardened Properties of Expanded Perlite Blended Cement Mortars
Authors: ENSARİOĞLU Mustafa , DEMİRHAN Serhat
Published: May 2022

Expanded perlite, which is mostly used for purposes such as lightweight concrete and insulation, contains a high percentage of silica and alumina. Problems in early-term strength development occur with the high-volume substitution of normal weight and lightweight pozzolanic materials in the production of cement. It was thought that it would be important to examine the early period fresh and hardened properties of expanded perlite blended cement including nano and micronized calcite minerals with high reactivity and high specific surface area/volume ratio. For this purpose, a total of nine different mortar mixtures containing 0%, 6% and 18% expanded perlite and 5% nano and micronized calcite were designed for replacing by cement. For mortar samples modified with nano and micronized calcite and containing expanded perlite at different rates; mini slump flow test, standard consistency, setting times and soundness (Le Chatelier Method) tests/analyses were performed as fresh and early period properties. In addition to this, compressive strength and ultrasound pulse velocity tests were performed for the curing ages of 7, 28 and 120 days as hardened properties. Experimental results showed that expanded perlite negatively affects the early and hardened properties of mortars, and in general, improvements are achieved with nano/micronized calcite substitution. 23.2% and 45.4% of strength development has been achieved in the mixture including both calcite and expanded perlite within the curing ages of 7-28 days and 7-120 days, respectively. Also, a maximum of 5.7% of reduction was observed in EP blended cement mortars, including 18% of EP. Since nano-sized calcite has a higher surface area compared to micronized calcite, better contributions to the fresh and hardened properties were observed in the utilisation of nano-sized calcite.
Bakla Bitkilerinde Kök Çürüklüğüne Neden Olan Rhizoctonia Türlerinin Anastomosis Grupları ve Patojeniteleri
Authors: GENÇ KESİMCİ Tuba , EKEN Cafer , DEMİRCİ Erkol
Published: May 2022

Bu çalışma, bakla bitkilerinden izole edilen Rhizoctonia spp. izolatlarının patojenitelerini ve anastomosis gruplarını belirlemek amacıyla yürütülmüştür. Bitkilerin kök boğazı ve gövdelerinin alt kısımlarından yapılan izolasyonlar sonucu 43 Rhizoctonia izolatı elde edilmiş ve anastomosis grupları (AG) belirlenmiştir. Bu izolatların %48.8’inin Rhizoctonia solani, %51.2’sinin binükleik Rhizoctonia olduğu saptanmıştır. Elde edilen 21 R. solani izolatının AG-2 (1 izolat), AG-4 (8 izolat) ve AG-5 (12 izolat); 22 binükleik Rhizoctonia izolatının ise AG-K gruplarına ait olduğu saptanmıştır. Seçilen izolatlar ile in vitro şartlarda patojenite denemesi kurulmuş, R. solani ve binükleik Rhizoctonia izolatlarının virülenslik seviyelerinde farklılıklar tespit edilmiştir. R. solani izolatlarının virülenslikleri yüksek olarak bulunurken, binükleik Rhizoctonia izolatlarının virülenslikleri ise zayıf olarak belirlenmiştir. Bu çalışmada elde edilen Rhizoctonia türlerinin anastomosis gruplarının tümü Türkiye’de bakla bitkilerinde ilk defa tespit edilmiştir.
Farklı İklim Değişikliği Senaryoları için Doğu Karadeniz Bölgesindeki Meteorolojik Kuraklıkların Eğilim Analizi
Authors: NACAR Sinan , ŞAN Murat , KANKAL Murat , OKKAN Umut
Published: May 2022

Kuraklık diğer doğal afetlerden farklı olarak gelişimi daha uzun zaman alan ve etkileri daha uzun süre devam eden bir afettir. Meydana gelmesi muhtemel bir kuraklığın önceden belirlenmesi, kuraklığın olumsuz etkilerinin daha etkili bir şekilde azaltılmasını mümkün kılmaktadır. Standartlaştırılmış Yağış İndeksi (SYİ) farklı iklim koşullarına sahip, farklı zaman dilimleri ve bölgeler arasındaki kuraklıkları tanımlamak için en sık kullanılan kuraklık indeksidir. Bu çalışmanın amacı almış olduğu yağış miktarı bakımından Türkiye’nin en önemli hidrolojik havzalarından biri olan Doğu Karadeniz Havzası’nın (DKH) geçmiş ve gelecek dönem kuraklık analizini SYİ parametresi ile gerçekleştirmek ve bu parametrenin eğilimini belirlemektir. Bu kapsamda DKH içinde ve çevresinde yer alan 12 meteoroloji istasyonundan ölçülmüş olan 1981-2010 dönemi aylık toplam yağış verileri kullanılarak SYİ değerleri hesaplanmıştır. Ayrıca CMIP5 arşivinde yer alan GFDL-ESM-2M genel dolaşım modelinin iyimser (RCP4.5) ve kötümser (RCP8.5) senaryolar altındaki bölgesel ölçeğe indirgenmiş olan 2021-2050 dönemi çıktılarına da aynı işlemler uygulanmıştır. Meteorolojik kuraklığın eğilim analizleri için 1 ve 3 aylık SYİ değerleri üzerinde Yenilikçi Eğilim Analizi yöntemi kullanılarak üç farklı grupta ve %95 güven düzeyinde tekdüze olarak eğilim analizi gerçekleştirilmiştir. Gözlem değerlerinde ve RCP senaryolarında istasyonların yaklaşık %25’inde şiddetli yağışlarda ve şiddetli kuraklıklarda artış görülmüştür. Ancak SYİ değerlerinde geçmiş dönem periyodunda Akçaabat istasyonu (azalan eğilim) hariç tekdüze anlamlı artan eğilim görülürken gelecek dönem periyodunda her iki senaryo için azalan yönde eğilim görülmüştür.
Long-term trends and changes in rainfall magnitude and duration in a semi-arid catchment, South Africa
Authors: Makungo Rachel , Mashinye Mosedi Deseree
Published: May 2022

The study investigated long-term trends and changes in rainfall magnitude and duration in a semi-arid catchment. It is crucial to determine changes in rainfall to support efforts to adapt to climate change in highly vulnerable semi-arid areas. Trends for long-term seasonal and annual rainfall magnitude and duration were determined using Mann–Kendall (MK) and quantile regression (QR) methods. Sen's slope was used to determine the magnitude of change in rainfall. Correlation analysis was conducted to determine the influence of altitude and land-use change on rainfall trends. There were dominant non-statistically significant decreasing trends for annual, seasonal rainfall magnitude, and rainfall duration. Trends from QR at low (0.1 and 0.2) and high (0.7 and 0.9) quantiles mostly deviated from those of MK. There were weak and variable correlations of long-term rainfall trends with altitude and land-use change. Land-use change and topography may therefore not adequately explain the variations of trends. Further studies are essential to understand the interaction of various environmental factors and their influence on rainfall trends. Variations of trends will impact future water resource availability and allocation. It is important to consider the deviations when developing climate change adaptation measures and ensure improved decision-making.
OPTIMASI PROSES PENGERINGAN TERHADAP AKTIVITAS ANTIOKSIDAN BUNGA TELANG (Clitoria ternatea) MENGGUNAKAN METODE RESPON PERMUKAAN
Authors: Anwar Fauzi Rizal , Widyasanti Asri , Dwiratna Nur Perwitasari Sophia , Nurhasanah Siti
Published: May 2022

Bunga telang (C. ternatea) diidentifikasi mengandung senyawa bioaktif yang berpotensi menjadi sumber antioksidan alami namun mudah terdegradasi oleh suhu tinggi. Tujuan penelitian ini yaitu mengetahui model matematis dan kombinasi suhu dan waktu pengeringan yang menghasilkan bunga telang kering dengan kadar air, rendemen dan aktivitas antioksidan paling optimum. Pengering yang digunakan yaitu food dehydrator dengan suhu 45 °C hingga 65 °C serta waktu 4 hingga 6 jam. Metode penelitian ini yaitu metode eksperimen dengan optimasi menggunakan Response Surface Methodology tipe CCD pada aplikasi Design Expert 11. Parameter yang dianalisis selain respon pada RSM yaitu kelarutan bubuk dan warna seduhan bunga telang kering. Kondisi pengeringan optimum yang diberikan RSM diperoleh pada pengeringan dengan suhu 64,46 °C selama 5,95 jam. Diperoleh nilai hasil dari validasi aktivitas antioksidan 159,75 ppm (kategori sedang), kadar air 4,33%, kelarutan 63,09%, rendemen 8,44%, L* 41,39, a* -24,18, b* -18,39, kromatisitas warna 30,23, dan Hue 216,88 (Blue green). Persamaan matematis aktivitas antioksidan didapatkan Y = 2630,202 – 62,236 A – 140,078 B – 4,171 AB + 0,707 A2 + 28,864 B2, dengan Y adalah aktivitas antioksidan (ppm), A adalah suhu (°C), dan B adalah waktu (jam). Penelitian ini membuktikan bahwa kombinasi suhu dan waktu pengeringan berpengaruh pada aktivitas antioksidan bunga telang kering.
First record of the bryophilous fungi Paruephaedria heimerlii (Dactylosporaceae, Ascomycota) for Mexico
Authors: Guzmán-Guillermo Jorge , Raymundo Tania , Sorcia-Navarrete Paola , Carvajal-Hernández César Isidro
Published: May 2022

Background and Aims: The briofilous fungi are a diverse and polyphyletic group of symbiotic mushrooms associated specifically with few bryophyte species, genera or families. Paruephaedria heimerlii stands out as a species with a bryophilous habit in Jungermanniales; it is known from Alaska, Europe, Japan and Tasmania. Therefore, the objective of this work is to present the first record of this species in Mexico, its first known tropical locality.Methods: The studied specimens were collected in the vegetation of pine-oak forest and tropical cloud forest in the state of Veracruz, Mexico. The material was herborized and decontaminated by cooling, followed by determination from histological sections of the ascomas and observed with an optical microscope. Finally, the material was deposited in the fungal collections of the herbaria ENCB of the Instituto Politécnico Nacional and XALU of the Facultad de Biología of the Universidad Veracruzana.Key results: Using morphological characteristics and measures of sexual structures like spores, asci and hymenial structures, the studied material was determined as Paruephaedria heimerlii, representing the first record of this species both in Mexico and for the tropics. Conclusions: According to our observations and comparisons with reports in literature, it is probable that the presence of P. heimerlii is not conditioned to the temperature or altitude of the habitat in which it is found, but to the availability of hosts.
The Current State of Remote Physiotherapy in Finland: Cross-sectional Web-Based Questionnaire Study
Authors: Hellstén Thomas , Arokoski Jari , Sjögren Tuulikki , Jäppinen Anna-Maija , Kettunen Jyrki
Published: May 2022

Background

The ongoing COVID-19 pandemic has required social, health, and rehabilitation organizations to implement remote physiotherapy (RP) as a part of physiotherapists’ daily practice. RP may improve access to physiotherapy as it delivers physiotherapy services to rehabilitees through information and communications technology. Even if RP has already been introduced in this century, physiotherapists’ opinion, amount of use, and form in daily practice have not been studied extensively.

Objective

This study aims to investigate physiotherapists’ opinions of the current state of RP in Finland.

Methods

A quantitative, cross-sectional, web-based questionnaire was sent to working-aged members of the Finnish Association of Physiotherapists (n=5905) in March 2021 and to physiotherapists in a private physiotherapy organization (n=620) in May 2021. The questionnaire included questions on the suitability of RP in different diseases and the current state and implementation of RP in work among physiotherapists.

Results

Of the 6525 physiotherapists, a total of 9.9% (n=662; n=504, 76.1% female; mean age 46.1, SD 12 years) answered the questionnaire. The mean suitability “score” (0=not suitable at all to 10=fully suitable) of RP in different disease groups varied from 3.3 (neurological diseases) to 6.1 (lung diseases). Between early 2020 (ie, just before the COVID-19 pandemic) and spring 2021, the proportion of physiotherapists who used RP increased from 33.8% (21/62) to 75.4% (46/61; P<.001) in the public sector and from 19.7% (42/213) to 76.6% (163/213; P<.001) in the private sector. However, only 11.7% (32/274) of physiotherapists reported that they spent >20% of their practice time for RP in 2021. The real-time method was the most common RP method in both groups (public sector 46/66, 69.7% vs private sector 157/219, 71.7%; P=.47). The three most commonly used technical equipments were computers/tablets (229/290, 79%), smartphones (149/290, 51.4%), and phones (voice call 51/290, 17.6%). The proportion of physiotherapists who used computers/tablets in RP was higher in the private sector than in the public sector (183/221, 82.8% vs 46/68, 67.6%; P=.01). In contrast, a higher proportion of physiotherapists in the public sector than in the private sector used phones (18/68, 26.5% vs 33/221, 14.9%; P=.04).

Conclusions

During the COVID-19 pandemic, physiotherapists increased their use of RP in their everyday practice, although practice time in RP was still low. When planning RP for rehabilitees, it should be considered that the suitability of RP in different diseases seems to vary in the opinion of physiotherapists. Furthermore, our results brought up important new information for developing social, health, and rehabilitation education for information and communications technologies.
Combining Machine Learning, Patient-Reported Outcomes, and Value-Based Health Care: Protocol for Scoping Reviews
Authors: Raclin Tyler , Price Amy , Stave Christopher , Lee Eugenia , Reddy Biren , Kim Junsung , Chu Larry
Published: May 2022

Background

Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) are self-reporting tools that can measure important information about patients, such as health priorities, experience, and perception of outcome. The use of traditional objective measures such as vital signs and lab values can be supplemented with these self-reported patient measures to provide a more complete picture of a patient’s health status. Machine learning, the use of computer algorithms that improve automatically through experience, is a powerful tool in health care that often does not use subjective information shared by patients. However, machine learning has largely been based on objective measures and has been developed without patient or public input. Algorithms often do not have access to critical information from patients and may be missing priorities and measures that matter to patients. Combining objective measures with patient-reported measures can improve the ability of machine learning algorithms to assess patients’ health status and improve the delivery of health care.

Objective

The objective of this scoping review is to identify gaps and benefits in the way machine learning is integrated with patient-reported outcomes for the development of improved public and patient partnerships in research and health care.

Methods

We reviewed the following 3 questions to learn from existing literature about the reported gaps and best methods for combining machine learning and patient-reported outcomes: (1) How are the public engaged as involved partners in the development of artificial intelligence in medicine? (2) What examples of good practice can we identify for the integration of PROMs into machine learning algorithms? (3) How has value-based health care influenced the development of artificial intelligence in health care? We searched Ovid MEDLINE(R), Embase, PsycINFO, Science Citation Index, Cochrane Library, and Database of Abstracts of Reviews of Effects in addition to PROSPERO and the ClinicalTrials website. The authors will use Covidence to screen titles and abstracts and to conduct the review. We will include systematic reviews and overviews published in any language and may explore additional study types. Quantitative, qualitative, and mixed methods studies are included in the reviews.

Results

The search is completed, and Covidence software will be used to work collaboratively. We will report the review using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and Critical Appraisal Skills Programme for systematic reviews.

Conclusions

Findings from our review will help us identify examples of good practice for how to involve the public in the development of machine learning systems as well as interventions and outcomes that have used PROMs and PREMs.

International Registered Report Identifier (IRRID)

DERR1-10.2196/36395
Peer Review of “The Influence of SARS-CoV-2 Variants on National Case-Fatality Rates: Correlation and Validation Study” (Preprint)
Authors: Poluru Ramesh
Published: May 2022

UNSTRUCTURED

This is a peer review report related to ms#32935.
Peer Review of “Supporting Technologies for COVID-19 Prevention: Systemized Review” (Preprint)
Authors: Mbwogge Mathew
Published: May 2022

UNSTRUCTURED

This is a peer review report related to MS ID#30344.
Peran Kualitas Persahabatan terhadap Tingkat Stres dengan Mediator Kesepian
Authors: Rachmanie Aisha Sekar Lazuardini , Swasti Idei Khurnia
Published: May 2022

Hubungan persahabatan merupakan salah satu aspek penting di kehidupan mahasiswa. Kualitas dalam hubungan tersebut dapat berdampak pada kondisi Kesehatan mental mereka. Tujuan dari penelitian ini yaitu menguji secara empiris peran kualitas persahabatan terhadap tingkat stres melalui kesepian sebagai mediator pada mahasiswa sekolah kedinasan yang berusia 18-21 tahun. Partisipan penelitian adalah 216 mahasiswa (95 laki-laki dan 121 perempuan). Tingkat stres diukur dengan Perceived Stress Scale – 10, kesepian diukur dengan UCLA Loneliness Scale Version 3, dan kualitas persahabatan diukur dengan Friendship Quality Questionnaire (FQQ). Semua skala yang digunakan telah diadaptasi ke bahasa Indonesia Analisis mediasi sederhana digunakan untuk menentukan peran kualitas persahabatan pada tingkat stres dengan kesepian sebagai mediator. Hasil penelitian menunjukkan bahwa kualitas persahabatan berperan negatif secara signifikan terhadap tingkat stres dengan kesepian sebagai mediator (β = -0,1114; p < 0,001). Dengan demikian, individu dengan kualitas persahabatan yang tinggi dengan sahabat mereka cenderung memiliki tingkat stres yang rendah dengan kesepian sebagai mediator keduanya.
What We Learned About the Humanities from a Study of Thousands of Newspaper Articles
Authors: Thomas Lindsay , Droge Abigail
Published: May 2022

How might a computational analysis of the humanities in public discourse inform future efforts in humanities education and research? This question motivates this short essay; here, we reflect on key arguments from our longer article “The Humanities in Public: A Computational Analysis of US National and Campus Newspapers” with an eye toward imagining possible use cases and applications for our findings. After summarizing our main claims, we suggest ways of reframing or revaluing advocacy for the humanities based on this research. These include delineating concrete examples of the relationship between humanistic knowledge and the public interest, shifting institutional and disciplinary priorities toward forms of labor that engage a wider variety of publics, and understanding the connections between, rather than focusing on competition among, the humanities and the sciences.
Phonological Processes of Shambaa
Authors: Mndeme Anuarite Samwel , Ligembe Nestory Nyamwala
Published: May 2022

This study set out to describe the phonological processes of Shambaa and establish phonological rules governing the phonological processes of Shambaa. The study was done at Mlalo, Ubiri and Vuga villages found in Lushoto District Tanga Region-Tanzania. The target population of the study were adult native speakers of Shambaa. The study used a purposive sampling procedure to select 10 participants from whom data was collected through interviews, documentary review and observation. The data were presented and analyzed using phonetics and phonological rules. The findings of the study reveal that phonological processes which occur in Shambaa are glide formation, vowel lengthening, high vowel deletion, glide insertion, vowel nasalization, consonants deletion, epenthesis, voicing, homorganic nasal assimilation, aspiration and substitution. Finally, the study recommends, that other researchers conduct more research on the Shambaa language and come up with more theories and results.
Станкостроение КНР: производство и внешняя торговля
Authors: Акимов А.В.
Published: May 2022

Представлены базовые показатели станкостроительной отрасли КНР.
COVID-19 como instrumento de aceleración de procesos de innovación tecnológica en las organizaciones gubernamentales: Hacia una transformación tecnológica planeada
Authors: Piña Pulido Fabián
Published: May 2022

La gobernanza y la innovación tecnológica son procesos que se dan de manera constante en las organizaciones públicas, por lo tanto, el cambio organizacional, en mayor o menor medida es siempre inevitable. El fenómeno que da origen como detonante de análisis en múltiples dimensiones es la crisis generada por COVID-19, a saber: La crisis generada por COVID-19 y su impacto en las organizaciones gubernamentales generó 1. Que los cambios organizacionales e innovaciones tecnológicas se aceleraran, y 2. Que se gestaran nuevas tecnologías. Este trabajo es un análisis inductivo que parte de las premisas antes expuestas para cuestionar, si acaso la pandemia y postpandemia servirán como un modelo para incorporar o no nuevas tecnologías y en qué medida es esto posible.
Histology of tendon and enthesis – suitable techniques for specific research questions
Authors:   Hannover Medical School, Clinic for Orthopaedic Surgery, Stadtfelddamm 34, 30625 Hannover, Germany, Angrisani N , Willbold E , Kampmann A , Derksen A , Reifenrath J
Published: May 2022

he musculoskeletal system consists of different components comprising a wide range of tissue types, with tendons being one part. Tendon degeneration or rupture have a high prevalence in all age groups, often with poor outcomes of surgical treatment such as chronic pain and high re-tear rates. Therefore, much effort has been directed to further develop diagnostic and therapeutic methods as well as reconstruction techniques, including using adequate placeholders or implants. Diagnostic approaches and advanced stages of preclinical studies will inevitably include histological examination of the pathologically affected tissue. The present study presents adequate tendon-related, histological techniques, including the embedding of soft- and hard-tissue samples in different media. Consideration is also given to samples containing residual implant materials or having been subjected to standard staining protocols and immunohistochemical procedures. The study further examines cells and tendon structure to detect degenerative, fibrotic or inflammatory conditions and possible foreign-body responses to implanted materials. Infraspinatus tendons from preclinical studies carried on rat and sheep samples, as well as human biceps tendon samples, have been used as example materials.
Music Recommendation Using Deep Learning: A Study
Authors: Kedari Shubham , Walimbe Jui , Thorat Madhuri , Warule Sakshi
Published: May 2022

Abstract: In this project we suggest songs to a user based on his personal favorite music by analyzing their composition. We take advantage of the Convolutions Neural Network (CNN) to learn meaningful audio explanations and suggest similar songs to the user. To suggest a song for an individual user by his preferences. We have studied some deep learning model which will improve the recommendation accuracy over traditional methods like Collaborative Filtering(CF), Convolutional Neural Network(CNN), Recurrent Neural Network (RNN). In which CNN showed promising results and we have decided to use CNN for our personalized music recommender. Keywords: Deep Learning, Machine Learning, Convolutional Neural Network, Music Recommendation, CNN, Song Recommendation
A Survey on Detection and Diagnose of Malnutrition
Authors: Shetty Mrs. Snitha , Lobo Lavita Gloria , D Monisha , K Nidhi , Shetty Sanjana
Published: May 2022

Abstract: In todays present day world, Globalization, demographic transition, lifestyles fashion modifications and nutritional meal patterns impacts people’s nutrition. This painting tries to illustrate the evaluation of malnutrition primarily based totallyon meals intakes, wealthy index, age group, schooling level, occupation, etc. There is no decrease in number of patients with undernourishment or over nutrition illness. This form of sickness reasons extra of 5,00,000 instances in India each 12 months and is the principal basis for dying in India. The approach of this work is to use agent Technology and Data mining technology. Uncovering the relationships in data mining has a prospect which leads to malnutrition when provided large datasets. In the primary stage the variables from non-clustered facts have become correlated with malnutrition indices. Further on, the statistics became parts into clusters. This became completed with the aid of using the k-nearest set of rules and logistic regression. Subsequently every cluster became analyzed the usage of the software program and the correlation outcomes became compared. The end result of supervised information mining strategies in nutrition database affords the nutrition repute of kids age below five. Choosing a extra appropriate set of rules that quality represents malnutrition in India could as a consequence be very useful. This work is beneficial to enhance nutrition stage of public fitness with the assist of presidency fitness offerings to the people. Keywords: Malnutrition, Data Mining, Machine Learning Techniques, KNN, logistic regression, Nutrition
Design & Analysis of H-Shape Microstrip Patch Antenna
Authors: Kumar Abhishek , Kushwah Abhishek , Anand Aman , Patel Kumar Mangalam , Kumar Anshu
Published: May 2022

Abstract: Our proposed research is about designing and analysis of H shape microstrip patch antenna. Operating frequency of H shape micro strip antenna is 5 Ghz. The design and simulation are done in High-frequency structure simulator (HFSS) software with FR4 substrate. According to its real application, shape, and the type the H- shape microstrip antenna is designed. The size of the antenna is calculated by its length, width. Then the H-shape is stimulated for the radiation parameters obtained through optimizing and matching to meet the requirement. The parameter of antenna such as Return Loss, Gain, VSWR are measured. Keywords: Return Loss, Gain, VSWR.
Role of in silico Drug Design in Pharmaceutical Sciences
Authors: Islam Rainul , Maji Sumit , Kabiraj Souparna , Habib Umme , Pal Rohan , Bhattacharya Somenath , Chakraborty Soumallya , Bhattacharjee Dr. Arin
Published: May 2022

Abstract: In silico drug design is the study to identify, develop, analyze, optimize drugs or biologically cum pharmaceutically active compounds by using computerized software programs as well web servers. In silico drug design is commonly known as computer aided drug design or CADD in short. This technique shows a vital role in preclinical drug design and development. CADD can improve the speed of drug design. It reduces time as well as total cost of the experiments. Potent cum suitable molecules are prepared after performing in silico drug design including CADD. Various applications like confirmation generation, homology modeling, multiple sequence alignment, molecular docking study, generation of Pharmacophores, virtual screening, de novo drug design, QSAR (Quantitative structure activity relationships) study, molecular modeling, in silico ADMET (Absorption, distribution, metabolism, excretion and toxicity) prediction of CADD has been implemented to design newer molecules. The current study focuses on different strategies cum approaches through computer aided drug designing applied to find potent, efficient and safe molecules in the field of drug discovery. Keywords: CADD, drug design, molecular docking, Pharmacophores, virtual screening, de novo drug design, QSAR, molecular modeling.
Heart Disease Prediction Using ML Algorthim
Authors: Varshney Ritika , Chaudhary Himanshi , Bansal Mansi , Goyal Mayank
Published: May 2022

Abstract: Cardiac disease could be a major international unhealthiness in fashionable drugs. The twenty-first century saying that by taking unusual or junk food cause cardio attack. The criticality of viscus diseases square measure a lot of crucial and may even result in vulnerable consequences if it is not detected at associate degree earlier stage. The techniques such as electronic health records, blood pressure measure machine are continuously monitoring human health condition through injection of major wearable devices. Since the information generated from the body space networks square measure continuous and tremendous in volume, the machine learning techniques square measure used for economical health information classification processes. This research paper is related to heart disease prediction. The outcomes are analyzed regarding factors such as accuracy, sensitivity, precision, and specificity. It has been found from the analysis that the proposed system provides comparatively better accuracy and prediction measures than the existing techniques. Keywords: Heart disease, logistic regression ,supervised learning