Dau Shri Vasudev Chandrakar Kamdhenu Vishwavidyalaya is a state university located in Durg, Chhattisgarh, India. It was established in 2012 and offers courses in veterinary and animal sciences at various levels..
To realize the predictable abilities of 5G networks, several technological progressions were deliberated. In wireless areas, there is an important surge in the extensive application of 5G technology because of multimedia applications. In the present cellular networks, multimedia content dissemination services have met with many challenges while achieving the desired performance. The worst channel condition with receiving user-support data rate and all multicast group members are served by the conventional multimedia transmission model. For all receiving users, the requirement of various different quality of experience (QoE) and a satisfied quality of service (QoS) was discussed recently. Nonetheless, several researchers have not concentrated on the enhancement of energy efficiency. Under reliable QoE constraint, this work proposed a new hybridized delayed velocity particle white shark swarm (hybrid DVPWS2) algorithm in a multicast device-to-device (D2D) network to optimize the energy efficiency as well as the better allocation of power. The D2D clustering model is achieved by using an agglomerative hierarchy clustering (AHC). To design a multimedia content dissemination model based on energy efficiency, the proposed model combines and is used to allocate inter and intra-cluster D2D multicast with the cellular network. MATLAB software handles the implementation part and reveals the superiority of the proposed method over previous works.
To address complex mental health issues, cognitive analytic therapy (CAT), developed by Dr. Anthony Ryle in the UK’s National Health Service (NHS) in the early 1980s, combines theories of cognitive, object relations, and social development. A flexible framework for clinical intervention, this structured yet flexible psychotherapeutic approach has been used to treat conditions like eating disorders, personality disorders, chronic pain, and psychosis. To provide clinical psychologists with a thorough understanding of CAT, this narrative review summarizes peer-reviewed research on adult populations conducted over the past 20 years. It examines the clinical guidelines, therapeutic phases, and theoretical underpinnings of CAT administration, as well as its real-world applications in various clinical contexts. This narrative review examines possible cross-cultural adaptations for broader applicability and uses in-text citations and an evidence grading system to assess the caliber of supporting evidence. This study uses a comprehensive narrative literature search strategy which involved several key databases, including PubMed, PsycINFO, and Google Scholar. Studies have shown that CAT is structured, flexible, and applicable in a variety of clinical settings, supporting its evidence-based effectiveness in treating a range of mental health conditions. To enhance therapeutic reliability across diverse populations with cross-cultural backgrounds, this review highlights cultural considerations, identifies key therapeutic stages, and provides practical implementation guidelines. CAT is a robust and flexible way to treat complicated mental health problems. There is a growing body of empirical evidence to support this. Its integrative approach, which combines cognitive, relational, and developmental views, makes it possible to treat patients effectively in a wide range of clinical situations. Further research is required to enhance the evidence base through rigorous study designs and to develop culturally sensitive adaptations to ensure broader applicability across diverse populations.
From a conventional technique for detecting lies, polygraphy has developed into an important psychophysiological instrument for forensic psychological analysis. The use of polygraphy in evaluating psychological trauma and confirming veracity in workplace harassment cases is examined in this review. The study looks at the main polygraph methods, their theoretical underpinnings, and how they can be combined with clinical and psychometric tests to improve the accuracy of forensic analyses. According to the literature currently in publication, polygraph tests offer important insights into emotional arousal, trauma recall, and the veracity of witness or victim statements when used ethically and in combination with other psychological tests. However, issues with legal admissibility, examiner bias, and the possibility of victim re-traumatization make careful, trauma-informed application necessary. According to the review's findings, polygraphy is most effective when used in conjunction with conventional psychological and investigative evaluations to help comprehend the intricate relationships between trauma, emotion, and the truth in cases of workplace harassment.
The present investigation was carried out during the year 2023-24 in the experimental field of Department of Vegetable Science at Pt. KLS College of Horticulture and Research Station, Rajnandgaon under Mahatma Gandhi University of Horticulture and Forestry, Sankra-Patan, Durg (C.G.). The experiment, consisting of 11 varieties of onion was laid under Randomized Block Design (RBD) with three replications. High magnitude of phenotypic coefficient of variance were observed for green foliage yield per hectare (33.71%), green foliage yield per plot (33.46%) and diameter of bulb (22.74%). High magnitude of genotypic coefficient of variance were observed for green foliage yield per hectare (32.31%) and green foliage yield per plot (32.02%). The estimates of heritability were recorded high for dry matter percentage of leaves (97.97%). High value of genetic advance as percentage of mean was recorded for green foliage yield per hectare (63.79%). Green foliage yield per hectare had highly significant and positive correlation both at genotypic and phenotypic level with green foliage yield per plant (0.787 and 0.649), dry matter percentage of leaves (0.794 and 0.748), plant height (0.746 and 0.577), length of leaves (0.659 and 0.589), collar girth (0.814 and 0.533), dry matter percentage of bulbs (0.721 and 0.693) and moisture percentage of bulbs (0.740 and 0.646). Path coefficient analysis revealed positive and direct effect of green foliage yield per hectare was recorded via length of leaves followed by dry matter percentage of leaves, moisture percentage of bulbs, plant height, collar girth, dry matter percentage of bulbs, leaves width, moisture percentage of leaves, green foliage yield per plant and no. of leaves per plant.
The current study was conducted during the year 2022-23 at Horticulture Farm, Bharregaon under Pt. K.L.S. College of Horticulture and Research Station, Rajnandgaon, (C.G.), during the period from first fortnight of October 2022 and November 2022. The experiment was laid out in randomized block design and replicated thrice with a total of 11 treatment where urea at 1.5%, 2% and 2.5%, KNO3 at 1.5%, 2% and 2.5%, Ethephon at 250 mg, SOP at 0.5%, 1% and 1.5% and control (spray in water).The present experiment revealed that the treatment T6 (KNO3 @ 2.5 %) exhibited better performance in relation to vegetative and growth parameters like minimum vegetative shoots per terminal (0.62), maximum of flowering shoots per terminal (0.98), minimum vegetative shoots (7.64%), maximum flowering shoots (91.55%) and minimum days for full bloom (19.11 days), maximum panicle length (44.39 cm) yield parameters like highest weight of fruits (265.11g), highest length of fruits (11.18 cm), maximum diameter of fruits (7.43 cm), maximum number of fruits per panicle (13.80 cm), Higher number of fruits per tree (294.50) and maximum fruit yield per tree (78.76 kg/tree) and quality parameters like maximum total soluble solids (19.89 0Brix), minimum acidity (0.16%), total sugar (13.61 %), reducing sugar (10.41%) and non-reducing sugar (3.12%). Hence, the treatment T6 (KNO3 @ 2.5%) may be recommended for foliar spray for improvement of vegetative growth, fruiting, quality and yield parameters of mango cv. Dashehari.
